目录
基于VGG16迁移技术实现猫狗分类识别(图片数据量调整→保存h5模型)
1488/1488 4s 2ms/step - loss: 0.0139 - acc: 0.9966 - val_loss: 1.0130 - val_acc: 0.8762
2000/2000 6s 3ms/step - loss: 0.0122 - acc: 0.9950 - val_loss: 0.7943 - val_acc: 0.9125
4000/4000 10s 2ms/step - loss: 0.0216 - acc: 0.9945 - val_loss: 0.9137 - val_acc: 0.8812
6000/6000 15s 2ms/step - loss: 0.0262 - acc: 0.9933 - val_loss: 0.6805 - val_acc: 0.8988
6992/6992 20s 3ms/step - loss: 0.0395 - acc: 0.9894 - val_loss: 0.6387 - val_acc: 0.8975
99980/99980 237s 2ms/step - loss: 0.0598 - acc: 0.9922 - val_loss: 1.2305 - val_acc: 0.9100
相关文章
DL之VGG16:基于VGG16迁移技术实现猫狗分类识别(图片数据量调整→保存h5模型)
DL之VGG16:基于VGG16迁移技术实现猫狗分类识别(图片数据量调整→保存h5模型)实现
基于VGG16迁移技术实现猫狗分类识别(图片数据量调整→保存h5模型)
设计思路
输出结果
1. Using TensorFlow backend. 2. F:\Program Files\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. 3. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) 4. F:\Program Files\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. 5. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) 6. F:\Program Files\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:532: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. 7. np_resource = np.dtype([("resource", np.ubyte, 1)]) 8. 9. 10. None 11. 2020-11-22 13:40:03.693339: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 12. Found 17500 images belonging to 2 classes. 13. Found 7500 images belonging to 2 classes. 14. -------------显示网络结构-------------------- 15. _________________________________________________________________ 16. Layer (type) Output Shape Param # 17. ================================================================= 18. input_2 (InputLayer) (None, 4, 4, 512) 0 19. _________________________________________________________________ 20. flatten_1 (Flatten) (None, 8192) 0 21. _________________________________________________________________ 22. dense_1 (Dense) (None, 256) 2097408 23. _________________________________________________________________ 24. activation_1 (Activation) (None, 256) 0 25. _________________________________________________________________ 26. dropout_1 (Dropout) (None, 256) 0 27. _________________________________________________________________ 28. dense_2 (Dense) (None, 1) 257 29. _________________________________________________________________ 30. activation_2 (Activation) (None, 1) 0 31. ================================================================= 32. Total params: 2,097,665 33. Trainable params: 2,097,665 34. Non-trainable params: 0 35. _________________________________________________________________ 36. None 37.
1488/1488 4s 2ms/step - loss: 0.0139 - acc: 0.9966 - val_loss: 1.0130 - val_acc: 0.8762
2000/2000 6s 3ms/step - loss: 0.0122 - acc: 0.9950 - val_loss: 0.7943 - val_acc: 0.9125
4000/4000 10s 2ms/step - loss: 0.0216 - acc: 0.9945 - val_loss: 0.9137 - val_acc: 0.8812
6000/6000 15s 2ms/step - loss: 0.0262 - acc: 0.9933 - val_loss: 0.6805 - val_acc: 0.8988
6992/6992 20s 3ms/step - loss: 0.0395 - acc: 0.9894 - val_loss: 0.6387 - val_acc: 0.8975
99980/99980 237s 2ms/step - loss: 0.0598 - acc: 0.9922 - val_loss: 1.2305 - val_acc: 0.9100
核心代码
1. def VGG16(include_top=True, 2. weights='imagenet', 3. input_tensor=None, 4. input_shape=None, 5. pooling=None, 6. classes=1000, 7. **kwargs): 8. """Instantiates the VGG16 architecture. 9. 10. Optionally loads weights pre-trained on ImageNet. 11. Note that the data format convention used by the model is 12. the one specified in your Keras config at `~/.keras/keras.json`. 13. 14. # Arguments 15. include_top: whether to include the 3 fully-connected 16. layers at the top of the network. 17. weights: one of `None` (random initialization), 18. 'imagenet' (pre-training on ImageNet), 19. or the path to the weights file to be loaded. 20. input_tensor: optional Keras tensor 21. (i.e. output of `layers.Input()`) 22. to use as image input for the model. 23. input_shape: optional shape tuple, only to be specified 24. if `include_top` is False (otherwise the input shape 25. has to be `(224, 224, 3)` 26. (with `channels_last` data format) 27. or `(3, 224, 224)` (with `channels_first` data format). 28. It should have exactly 3 input channels, 29. and width and height should be no smaller than 32. 30. E.g. `(200, 200, 3)` would be one valid value. 31. pooling: Optional pooling mode for feature extraction 32. when `include_top` is `False`. 33. - `None` means that the output of the model will be 34. the 4D tensor output of the 35. last convolutional block. 36. - `avg` means that global average pooling 37. will be applied to the output of the 38. last convolutional block, and thus 39. the output of the model will be a 2D tensor. 40. - `max` means that global max pooling will 41. be applied. 42. classes: optional number of classes to classify images 43. into, only to be specified if `include_top` is True, and 44. if no `weights` argument is specified. 45. 46. # Returns 47. A Keras model instance. 48. 49. # Raises 50. ValueError: in case of invalid argument for `weights`, 51. or invalid input shape. 52. """ 53. backend, layers, models, keras_utils = get_submodules_from_kwargs(kwargs) 54. 55. if not (weights in {'imagenet', None} or os.path.exists(weights)): 56. raise ValueError('The `weights` argument should be either ' 57. '`None` (random initialization), `imagenet` ' 58. '(pre-training on ImageNet), ' 59. 'or the path to the weights file to be loaded.') 60. 61. if weights == 'imagenet' and include_top and classes != 1000: 62. raise ValueError('If using `weights` as `"imagenet"` with `include_top`' 63. ' as true, `classes` should be 1000') 64. # Determine proper input shape 65. input_shape = _obtain_input_shape(input_shape, 66. default_size=224, 67. min_size=32, 68. data_format=backend.image_data_format(), 69. require_flatten=include_top, 70. weights=weights) 71. 72. if input_tensor is None: 73. img_input = layers.Input(shape=input_shape) 74. else: 75. if not backend.is_keras_tensor(input_tensor): 76. img_input = layers.Input(tensor=input_tensor, shape=input_shape) 77. else: 78. img_input = input_tensor 79. # Block 1 80. x = layers.Conv2D(64, (3, 3), 81. activation='relu', 82. padding='same', 83. name='block1_conv1')(img_input) 84. x = layers.Conv2D(64, (3, 3), 85. activation='relu', 86. padding='same', 87. name='block1_conv2')(x) 88. x = layers.MaxPooling2D((2, 2), strides=(2, 2), name='block1_pool')(x) 89. 90. # Block 2 91. x = layers.Conv2D(128, (3, 3), 92. activation='relu', 93. padding='same', 94. name='block2_conv1')(x) 95. x = layers.Conv2D(128, (3, 3), 96. activation='relu', 97. padding='same', 98. name='block2_conv2')(x) 99. x = layers.MaxPooling2D((2, 2), strides=(2, 2), name='block2_pool')(x) 100. 101. # Block 3 102. x = layers.Conv2D(256, (3, 3), 103. activation='relu', 104. padding='same', 105. name='block3_conv1')(x) 106. x = layers.Conv2D(256, (3, 3), 107. activation='relu', 108. padding='same', 109. name='block3_conv2')(x) 110. x = layers.Conv2D(256, (3, 3), 111. activation='relu', 112. padding='same', 113. name='block3_conv3')(x) 114. x = layers.MaxPooling2D((2, 2), strides=(2, 2), name='block3_pool')(x) 115. 116. # Block 4 117. x = layers.Conv2D(512, (3, 3), 118. activation='relu', 119. padding='same', 120. name='block4_conv1')(x) 121. x = layers.Conv2D(512, (3, 3), 122. activation='relu', 123. padding='same', 124. name='block4_conv2')(x) 125. x = layers.Conv2D(512, (3, 3), 126. activation='relu', 127. padding='same', 128. name='block4_conv3')(x) 129. x = layers.MaxPooling2D((2, 2), strides=(2, 2), name='block4_pool')(x) 130. 131. # Block 5 132. x = layers.Conv2D(512, (3, 3), 133. activation='relu', 134. padding='same', 135. name='block5_conv1')(x) 136. x = layers.Conv2D(512, (3, 3), 137. activation='relu', 138. padding='same', 139. name='block5_conv2')(x) 140. x = layers.Conv2D(512, (3, 3), 141. activation='relu', 142. padding='same', 143. name='block5_conv3')(x) 144. x = layers.MaxPooling2D((2, 2), strides=(2, 2), name='block5_pool')(x) 145. 146. if include_top: 147. # Classification block 148. x = layers.Flatten(name='flatten')(x) 149. x = layers.Dense(4096, activation='relu', name='fc1')(x) 150. x = layers.Dense(4096, activation='relu', name='fc2')(x) 151. x = layers.Dense(classes, activation='softmax', name='predictions')(x) 152. else: 153. if pooling == 'avg': 154. x = layers.GlobalAveragePooling2D()(x) 155. elif pooling == 'max': 156. x = layers.GlobalMaxPooling2D()(x) 157. 158. # Ensure that the model takes into account 159. # any potential predecessors of `input_tensor`. 160. if input_tensor is not None: 161. inputs = keras_utils.get_source_inputs(input_tensor) 162. else: 163. inputs = img_input 164. # Create model. 165. model = models.Model(inputs, x, name='vgg16') 166. 167. # Load weights. 168. if weights == 'imagenet': 169. if include_top: 170. weights_path = keras_utils.get_file( 171. 'vgg16_weights_tf_dim_ordering_tf_kernels.h5', 172. WEIGHTS_PATH, 173. cache_subdir='models', 174. file_hash='64373286793e3c8b2b4e3219cbf3544b') 175. else: 176. weights_path = keras_utils.get_file( 177. 'vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5', 178. WEIGHTS_PATH_NO_TOP, 179. cache_subdir='models', 180. file_hash='6d6bbae143d832006294945121d1f1fc') 181. model.load_weights(weights_path) 182. if backend.backend() == 'theano': 183. keras_utils.convert_all_kernels_in_model(model) 184. elif weights is not None: 185. model.load_weights(weights) 186. 187. return model 188. 189. 190. 191. input_node = Input(shape=feature_size) 192. z = input_node 193. z = Flatten()(z) 194. z = Dense(256)(z) 195. z = Activation('relu')(z) 196. z = Dropout(0.5)(z) 197. z = Dense(1)(z) 198. z = Activation('sigmoid')(z) 199.
1. 448/2000 [=====>........................] - ETA: 4s - loss: 0.0556 - acc: 0.9866 2. 464/2000 [=====>........................] - ETA: 4s - loss: 0.0537 - acc: 0.9871 3. 496/2000 [======>.......................] - ETA: 4s - loss: 0.0505 - acc: 0.9879 4. 528/2000 [======>.......................] - ETA: 3s - loss: 0.0475 - acc: 0.9886 5. 560/2000 [=======>......................] - ETA: 3s - loss: 0.0448 - acc: 0.9893 6. 592/2000 [=======>......................] - ETA: 3s - loss: 0.0425 - acc: 0.9899 7. 624/2000 [========>.....................] - ETA: 3s - loss: 0.0422 - acc: 0.9888 8. 656/2000 [========>.....................] - ETA: 3s - loss: 0.0414 - acc: 0.9878 9. 688/2000 [=========>....................] - ETA: 3s - loss: 0.0394 - acc: 0.9884 10. 720/2000 [=========>....................] - ETA: 3s - loss: 0.0378 - acc: 0.9889 11. 752/2000 [==========>...................] - ETA: 3s - loss: 0.0368 - acc: 0.9894 12. 784/2000 [==========>...................] - ETA: 3s - loss: 0.0353 - acc: 0.9898 13. 816/2000 [===========>..................] - ETA: 3s - loss: 0.0339 - acc: 0.9902 14. 832/2000 [===========>..................] - ETA: 3s - loss: 0.0333 - acc: 0.9904 15. 864/2000 [===========>..................] - ETA: 3s - loss: 0.0321 - acc: 0.9907 16. 896/2000 [============>.................] - ETA: 2s - loss: 0.0310 - acc: 0.9911 17. 928/2000 [============>.................] - ETA: 2s - loss: 0.0299 - acc: 0.9914 18. 960/2000 [=============>................] - ETA: 2s - loss: 0.0289 - acc: 0.9917 19. 992/2000 [=============>................] - ETA: 2s - loss: 0.0281 - acc: 0.9919 20. 1024/2000 [==============>...............] - ETA: 2s - loss: 0.0286 - acc: 0.9912 21. 1056/2000 [==============>...............] - ETA: 2s - loss: 0.0278 - acc: 0.9915 22. 1088/2000 [===============>..............] - ETA: 2s - loss: 0.0301 - acc: 0.9908 23. 1104/2000 [===============>..............] - ETA: 2s - loss: 0.0329 - acc: 0.9891 24. 1120/2000 [===============>..............] - ETA: 2s - loss: 0.0325 - acc: 0.9893 25. 1136/2000 [================>.............] - ETA: 2s - loss: 0.0320 - acc: 0.9894 26. 1168/2000 [================>.............] - ETA: 2s - loss: 0.0312 - acc: 0.9897 27. 1200/2000 [=================>............] - ETA: 2s - loss: 0.0318 - acc: 0.9892 28. 1232/2000 [=================>............] - ETA: 2s - loss: 0.0360 - acc: 0.9886 29. 1264/2000 [=================>............] - ETA: 2s - loss: 0.0431 - acc: 0.9881 30. 1296/2000 [==================>...........] - ETA: 1s - loss: 0.0424 - acc: 0.9884 31. 1328/2000 [==================>...........] - ETA: 1s - loss: 0.0414 - acc: 0.9887 32. 1360/2000 [===================>..........] - ETA: 1s - loss: 0.0409 - acc: 0.9890 33. 1392/2000 [===================>..........] - ETA: 1s - loss: 0.0400 - acc: 0.9892 34. 1424/2000 [====================>.........] - ETA: 1s - loss: 0.0399 - acc: 0.9888 35. 1456/2000 [====================>.........] - ETA: 1s - loss: 0.0390 - acc: 0.9890 36. 1488/2000 [=====================>........] - ETA: 1s - loss: 0.0382 - acc: 0.9892 37. 1520/2000 [=====================>........] - ETA: 1s - loss: 0.0374 - acc: 0.9895 38. 1552/2000 [======================>.......] - ETA: 1s - loss: 0.0366 - acc: 0.9897 39. 1584/2000 [======================>.......] - ETA: 1s - loss: 0.0376 - acc: 0.9893 40. 1616/2000 [=======================>......] - ETA: 1s - loss: 0.0370 - acc: 0.9895 41. 1648/2000 [=======================>......] - ETA: 0s - loss: 0.0364 - acc: 0.9897 42. 1680/2000 [========================>.....] - ETA: 0s - loss: 0.0357 - acc: 0.9899 43. 1712/2000 [========================>.....] - ETA: 0s - loss: 0.0351 - acc: 0.9901 44. 1744/2000 [=========================>....] - ETA: 0s - loss: 0.0346 - acc: 0.9903 45. 1776/2000 [=========================>....] - ETA: 0s - loss: 0.0340 - acc: 0.9904 46. 1808/2000 [==========================>...] - ETA: 0s - loss: 0.0334 - acc: 0.9906 47. 1840/2000 [==========================>...] - ETA: 0s - loss: 0.0336 - acc: 0.9902 48. 1872/2000 [===========================>..] - ETA: 0s - loss: 0.0332 - acc: 0.9904 49. 1904/2000 [===========================>..] - ETA: 0s - loss: 0.0327 - acc: 0.9905 50. 1936/2000 [============================>.] - ETA: 0s - loss: 0.0321 - acc: 0.9907 51. 1968/2000 [============================>.] - ETA: 0s - loss: 0.0325 - acc: 0.9903 52. 2000/2000 [==============================] - 6s 3ms/step - loss: 0.0345 - acc: 0.9895 - val_loss: 0.7680 - val_acc: 0.9025 53. Epoch 36/50 54. 55. 16/2000 [..............................] - ETA: 9s - loss: 4.0149e-04 - acc: 1.0000 56. 32/2000 [..............................] - ETA: 8s - loss: 3.0761e-04 - acc: 1.0000 57. 64/2000 [..............................] - ETA: 7s - loss: 0.0675 - acc: 0.9688 58. 96/2000 [>.............................] - ETA: 6s - loss: 0.0459 - acc: 0.9792 59. 128/2000 [>.............................] - ETA: 6s - loss: 0.0418 - acc: 0.9844 60. 160/2000 [=>............................] - ETA: 5s - loss: 0.0335 - acc: 0.9875 61. 192/2000 [=>............................] - ETA: 5s - loss: 0.0285 - acc: 0.9896 62. 224/2000 [==>...........................] - ETA: 5s - loss: 0.0250 - acc: 0.9911 63. 256/2000 [==>...........................] - ETA: 5s - loss: 0.0219 - acc: 0.9922 64. 288/2000 [===>..........................] - ETA: 4s - loss: 0.0418 - acc: 0.9861 65. 320/2000 [===>..........................] - ETA: 4s - loss: 0.0403 - acc: 0.9844 66. 352/2000 [====>.........................] - 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Epoch 37/50 122. 123. 16/2000 [..............................] - ETA: 4s - loss: 0.0014 - acc: 1.0000 124. 48/2000 [..............................] - ETA: 4s - loss: 5.2435e-04 - acc: 1.0000 125. 80/2000 [>.............................] - ETA: 4s - loss: 3.4611e-04 - acc: 1.0000 126. 112/2000 [>.............................] - ETA: 4s - loss: 3.5527e-04 - acc: 1.0000 127. 144/2000 [=>............................] - ETA: 4s - loss: 3.4414e-04 - acc: 1.0000 128. 176/2000 [=>............................] - ETA: 3s - loss: 0.0080 - acc: 0.9943 129. 208/2000 [==>...........................] - ETA: 3s - loss: 0.0068 - acc: 0.9952 130. 240/2000 [==>...........................] - ETA: 3s - loss: 0.0099 - acc: 0.9917 131. 272/2000 [===>..........................] - ETA: 3s - loss: 0.0106 - acc: 0.9926 132. 304/2000 [===>..........................] - ETA: 3s - loss: 0.0095 - acc: 0.9934 133. 336/2000 [====>.........................] - ETA: 3s - loss: 0.0121 - acc: 0.9911 134. 368/2000 [====>.........................] - 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ETA: 2s - loss: 0.0077 - acc: 0.9959 147. 768/2000 [==========>...................] - ETA: 2s - loss: 0.0073 - acc: 0.9961 148. 800/2000 [===========>..................] - ETA: 2s - loss: 0.0070 - acc: 0.9962 149. 832/2000 [===========>..................] - ETA: 2s - loss: 0.0083 - acc: 0.9952 150. 864/2000 [===========>..................] - ETA: 2s - loss: 0.0094 - acc: 0.9942 151. 896/2000 [============>.................] - ETA: 2s - loss: 0.0103 - acc: 0.9933 152. 928/2000 [============>.................] - ETA: 2s - loss: 0.0114 - acc: 0.9925 153. 960/2000 [=============>................] - ETA: 2s - loss: 0.0145 - acc: 0.9917 154. 992/2000 [=============>................] - ETA: 2s - loss: 0.0143 - acc: 0.9919 155. 1008/2000 [==============>...............] - ETA: 2s - loss: 0.0141 - acc: 0.9921 156. 1040/2000 [==============>...............] - ETA: 2s - loss: 0.0137 - acc: 0.9923 157. 1072/2000 [===============>..............] - ETA: 2s - loss: 0.0133 - acc: 0.9925 158. 1104/2000 [===============>..............] - ETA: 2s - loss: 0.0131 - acc: 0.9928 159. 1136/2000 [================>.............] - ETA: 2s - loss: 0.0127 - acc: 0.9930 160. 1168/2000 [================>.............] - ETA: 2s - loss: 0.0135 - acc: 0.9923 161. 1200/2000 [=================>............] - ETA: 1s - loss: 0.0135 - acc: 0.9925 162. 1232/2000 [=================>............] - ETA: 1s - loss: 0.0216 - acc: 0.9911 163. 1264/2000 [=================>............] - ETA: 1s - loss: 0.0211 - acc: 0.9913 164. 1296/2000 [==================>...........] - ETA: 1s - loss: 0.0207 - acc: 0.9915 165. 1328/2000 [==================>...........] - ETA: 1s - loss: 0.0202 - acc: 0.9917 166. 1360/2000 [===================>..........] - ETA: 1s - loss: 0.0197 - acc: 0.9919 167. 1392/2000 [===================>..........] - ETA: 1s - loss: 0.0193 - acc: 0.9921 168. 1424/2000 [====================>.........] - ETA: 1s - loss: 0.0188 - acc: 0.9923 169. 1456/2000 [====================>.........] - ETA: 1s - loss: 0.0240 - acc: 0.9918 170. 1488/2000 [=====================>........] - ETA: 1s - loss: 0.0234 - acc: 0.9919 171. 1520/2000 [=====================>........] - ETA: 1s - loss: 0.0231 - acc: 0.9921 172. 1552/2000 [======================>.......] - ETA: 1s - loss: 0.0227 - acc: 0.9923 173. 1584/2000 [======================>.......] - ETA: 1s - loss: 0.0223 - acc: 0.9924 174. 1616/2000 [=======================>......] - ETA: 0s - loss: 0.0220 - acc: 0.9926 175. 1648/2000 [=======================>......] - ETA: 0s - loss: 0.0216 - acc: 0.9927 176. 1680/2000 [========================>.....] - ETA: 0s - loss: 0.0212 - acc: 0.9929 177. 1712/2000 [========================>.....] - ETA: 0s - loss: 0.0208 - acc: 0.9930 178. 1744/2000 [=========================>....] - ETA: 0s - loss: 0.0205 - acc: 0.9931 179. 1776/2000 [=========================>....] - ETA: 0s - loss: 0.0202 - acc: 0.9932 180. 1808/2000 [==========================>...] - ETA: 0s - loss: 0.0200 - acc: 0.9934 181. 1840/2000 [==========================>...] - ETA: 0s - loss: 0.0196 - acc: 0.9935 182. 1872/2000 [===========================>..] - ETA: 0s - loss: 0.0230 - acc: 0.9931 183. 1904/2000 [===========================>..] - ETA: 0s - loss: 0.0228 - acc: 0.9932 184. 1936/2000 [============================>.] - ETA: 0s - loss: 0.0224 - acc: 0.9933 185. 1968/2000 [============================>.] - ETA: 0s - loss: 0.0220 - acc: 0.9934 186. 2000/2000 [==============================] - 5s 3ms/step - loss: 0.0217 - acc: 0.9935 - val_loss: 0.7360 - val_acc: 0.9062 187. Epoch 38/50 188. 189. 16/2000 [..............................] - ETA: 5s - loss: 5.3922e-04 - acc: 1.0000 190. 48/2000 [..............................] - ETA: 5s - loss: 0.0154 - acc: 0.9792 191. 80/2000 [>.............................] - ETA: 4s - loss: 0.0177 - acc: 0.9875 192. 112/2000 [>.............................] - ETA: 4s - loss: 0.0394 - acc: 0.9821 193. 144/2000 [=>............................] - ETA: 4s - loss: 0.0348 - acc: 0.9861 194. 176/2000 [=>............................] - ETA: 4s - loss: 0.0285 - acc: 0.9886 195. 208/2000 [==>...........................] - ETA: 4s - loss: 0.0243 - acc: 0.9904 196. 240/2000 [==>...........................] - ETA: 4s - loss: 0.0212 - acc: 0.9917 197. 272/2000 [===>..........................] - ETA: 4s - loss: 0.0187 - acc: 0.9926 198. 304/2000 [===>..........................] - ETA: 4s - loss: 0.0168 - acc: 0.9934 199. 336/2000 [====>.........................] - ETA: 4s - loss: 0.0188 - acc: 0.9911 200. 368/2000 [====>.........................] - ETA: 3s - loss: 0.0171 - acc: 0.9918 201. 400/2000 [=====>........................] - ETA: 3s - loss: 0.0158 - acc: 0.9925 202. 432/2000 [=====>........................] - ETA: 3s - loss: 0.0147 - acc: 0.9931 203. 464/2000 [=====>........................] - ETA: 3s - loss: 0.0151 - acc: 0.9914 204. 496/2000 [======>.......................] - ETA: 3s - loss: 0.0230 - acc: 0.9879 205. 528/2000 [======>.......................] - ETA: 3s - loss: 0.0225 - acc: 0.9886 206. 560/2000 [=======>......................] - ETA: 3s - loss: 0.0213 - acc: 0.9893 207. 592/2000 [=======>......................] - ETA: 3s - loss: 0.0205 - acc: 0.9899 208. 624/2000 [========>.....................] - ETA: 3s - loss: 0.0270 - acc: 0.9872 209. 656/2000 [========>.....................] - ETA: 3s - loss: 0.0257 - acc: 0.9878 210. 688/2000 [=========>....................] - ETA: 3s - loss: 0.0245 - acc: 0.9884 211. 720/2000 [=========>....................] - ETA: 3s - loss: 0.0234 - acc: 0.9889 212. 752/2000 [==========>...................] - ETA: 2s - loss: 0.0276 - acc: 0.9867 213. 784/2000 [==========>...................] - ETA: 2s - loss: 0.0264 - acc: 0.9872 214. 816/2000 [===========>..................] - ETA: 2s - loss: 0.0256 - acc: 0.9877 215. 848/2000 [===========>..................] - ETA: 2s - loss: 0.0247 - acc: 0.9882 216. 880/2000 [============>.................] - ETA: 2s - loss: 0.0238 - acc: 0.9886 217. 912/2000 [============>.................] - ETA: 2s - loss: 0.0230 - acc: 0.9890 218. 944/2000 [=============>................] - ETA: 2s - loss: 0.0222 - acc: 0.9894 219. 976/2000 [=============>................] - ETA: 2s - loss: 0.0215 - acc: 0.9898 220. 1008/2000 [==============>...............] - ETA: 2s - loss: 0.0208 - acc: 0.9901 221. 1040/2000 [==============>...............] - ETA: 2s - loss: 0.0202 - acc: 0.9904 222. 1072/2000 [===============>..............] - ETA: 2s - loss: 0.0196 - acc: 0.9907 223. 1104/2000 [===============>..............] - ETA: 2s - loss: 0.0190 - acc: 0.9909 224. 1136/2000 [================>.............] - 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ETA: 1s - loss: 0.0156 - acc: 0.9934 237. 1520/2000 [=====================>........] - ETA: 1s - loss: 0.0155 - acc: 0.9934 238. 1552/2000 [======================>.......] - ETA: 1s - loss: 0.0152 - acc: 0.9936 239. 1584/2000 [======================>.......] - ETA: 1s - loss: 0.0149 - acc: 0.9937 240. 1616/2000 [=======================>......] - ETA: 0s - loss: 0.0147 - acc: 0.9938 241. 1648/2000 [=======================>......] - ETA: 0s - loss: 0.0170 - acc: 0.9933 242. 1680/2000 [========================>.....] - ETA: 0s - loss: 0.0167 - acc: 0.9935 243. 1712/2000 [========================>.....] - ETA: 0s - loss: 0.0164 - acc: 0.9936 244. 1744/2000 [=========================>....] - ETA: 0s - loss: 0.0161 - acc: 0.9937 245. 1776/2000 [=========================>....] - ETA: 0s - loss: 0.0158 - acc: 0.9938 246. 1808/2000 [==========================>...] - ETA: 0s - loss: 0.0155 - acc: 0.9939 247. 1840/2000 [==========================>...] - ETA: 0s - loss: 0.0171 - acc: 0.9935 248. 1872/2000 [===========================>..] - ETA: 0s - loss: 0.0168 - acc: 0.9936 249. 1904/2000 [===========================>..] - ETA: 0s - loss: 0.0170 - acc: 0.9932 250. 1936/2000 [============================>.] - ETA: 0s - loss: 0.0167 - acc: 0.9933 251. 1968/2000 [============================>.] - ETA: 0s - loss: 0.0165 - acc: 0.9934 252. 2000/2000 [==============================] - 5s 3ms/step - loss: 0.0162 - acc: 0.9935 - val_loss: 0.7347 - val_acc: 0.9050 253. Epoch 39/50 254. 255. 16/2000 [..............................] - ETA: 4s - loss: 3.9777e-05 - acc: 1.0000 256. 48/2000 [..............................] - ETA: 4s - loss: 8.0089e-04 - acc: 1.0000 257. 80/2000 [>.............................] - ETA: 4s - loss: 4.9251e-04 - acc: 1.0000 258. 112/2000 [>.............................] - ETA: 4s - loss: 0.0033 - acc: 1.0000 259. 144/2000 [=>............................] - ETA: 4s - loss: 0.0026 - acc: 1.0000 260. 176/2000 [=>............................] - ETA: 4s - loss: 0.0021 - acc: 1.0000 261. 208/2000 [==>...........................] - ETA: 4s - loss: 0.0018 - acc: 1.0000 262. 240/2000 [==>...........................] - ETA: 4s - loss: 0.0094 - acc: 0.9958 263. 272/2000 [===>..........................] - ETA: 4s - loss: 0.0089 - acc: 0.9963 264. 304/2000 [===>..........................] - ETA: 4s - loss: 0.0080 - acc: 0.9967 265. 336/2000 [====>.........................] - ETA: 3s - loss: 0.0117 - acc: 0.9940 266. 368/2000 [====>.........................] - ETA: 3s - loss: 0.0107 - acc: 0.9946 267. 400/2000 [=====>........................] - ETA: 3s - loss: 0.0099 - acc: 0.9950 268. 432/2000 [=====>........................] - ETA: 3s - loss: 0.0101 - acc: 0.9954 269. 464/2000 [=====>........................] - ETA: 3s - loss: 0.0101 - acc: 0.9957 270. 496/2000 [======>.......................] - ETA: 3s - loss: 0.0111 - acc: 0.9960 271. 528/2000 [======>.......................] - ETA: 3s - loss: 0.0107 - acc: 0.9962 272. 560/2000 [=======>......................] - ETA: 3s - loss: 0.0104 - acc: 0.9964 273. 592/2000 [=======>......................] - ETA: 3s - loss: 0.0098 - acc: 0.9966 274. 624/2000 [========>.....................] - ETA: 3s - loss: 0.0111 - acc: 0.9952 275. 656/2000 [========>.....................] - ETA: 3s - loss: 0.0106 - acc: 0.9954 276. 688/2000 [=========>....................] - ETA: 3s - loss: 0.0106 - acc: 0.9956 277. 720/2000 [=========>....................] - ETA: 3s - loss: 0.0102 - acc: 0.9958 278. 736/2000 [==========>...................] - ETA: 3s - loss: 0.0099 - acc: 0.9959 279. 752/2000 [==========>...................] - ETA: 3s - loss: 0.0097 - acc: 0.9960 280. 784/2000 [==========>...................] - ETA: 3s - loss: 0.0094 - acc: 0.9962 281. 816/2000 [===========>..................] - ETA: 3s - loss: 0.0100 - acc: 0.9951 282. 848/2000 [===========>..................] - ETA: 2s - loss: 0.0097 - acc: 0.9953 283. 880/2000 [============>.................] - ETA: 2s - loss: 0.0093 - acc: 0.9955 284. 912/2000 [============>.................] - ETA: 2s - loss: 0.0090 - acc: 0.9956 285. 944/2000 [=============>................] - ETA: 2s - loss: 0.0087 - acc: 0.9958 286. 976/2000 [=============>................] - ETA: 2s - loss: 0.0084 - acc: 0.9959 287. 1008/2000 [==============>...............] - ETA: 2s - loss: 0.0082 - acc: 0.9960 288. 1040/2000 [==============>...............] - ETA: 2s - loss: 0.0088 - acc: 0.9962 289. 1072/2000 [===============>..............] - ETA: 2s - loss: 0.0086 - acc: 0.9963 290. 1104/2000 [===============>..............] - 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ETA: 0s - loss: 0.0127 - acc: 0.9943 315. 1760/2000 [=========================>....] - ETA: 0s - loss: 0.0126 - acc: 0.9943 316. 1776/2000 [=========================>....] - ETA: 0s - loss: 0.0144 - acc: 0.9938 317. 1792/2000 [=========================>....] - ETA: 0s - loss: 0.0142 - acc: 0.9939 318. 1824/2000 [==========================>...] - ETA: 0s - loss: 0.0140 - acc: 0.9940 319. 1840/2000 [==========================>...] - ETA: 0s - loss: 0.0139 - acc: 0.9940 320. 1872/2000 [===========================>..] - ETA: 0s - loss: 0.0137 - acc: 0.9941 321. 1904/2000 [===========================>..] - ETA: 0s - loss: 0.0135 - acc: 0.9942 322. 1920/2000 [===========================>..] - ETA: 0s - loss: 0.0133 - acc: 0.9943 323. 1936/2000 [============================>.] - ETA: 0s - loss: 0.0132 - acc: 0.9943 324. 1952/2000 [============================>.] - ETA: 0s - loss: 0.0142 - acc: 0.9939 325. 1968/2000 [============================>.] - ETA: 0s - loss: 0.0161 - acc: 0.9934 326. 2000/2000 [==============================] - 6s 3ms/step - loss: 0.0158 - acc: 0.9935 - val_loss: 0.7254 - val_acc: 0.9100 327. Epoch 40/50 328. 329. 16/2000 [..............................] - ETA: 5s - loss: 1.1826e-07 - acc: 1.0000 330. 32/2000 [..............................] - ETA: 6s - loss: 0.1459 - acc: 0.9688 331. 64/2000 [..............................] - ETA: 5s - loss: 0.0735 - acc: 0.9844 332. 80/2000 [>.............................] - ETA: 5s - loss: 0.0588 - acc: 0.9875 333. 112/2000 [>.............................] - ETA: 5s - loss: 0.0422 - acc: 0.9911 334. 144/2000 [=>............................] - ETA: 5s - loss: 0.0329 - acc: 0.9931 335. 176/2000 [=>............................] - ETA: 5s - loss: 0.0269 - acc: 0.9943 336. 192/2000 [=>............................] - ETA: 5s - loss: 0.0247 - acc: 0.9948 337. 208/2000 [==>...........................] - ETA: 5s - loss: 0.0229 - acc: 0.9952 338. 240/2000 [==>...........................] - ETA: 5s - loss: 0.0199 - acc: 0.9958 339. 256/2000 [==>...........................] - ETA: 5s - loss: 0.0186 - acc: 0.9961 340. 288/2000 [===>..........................] - 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ETA: 4s - loss: 0.0328 - acc: 0.9875 353. 672/2000 [=========>....................] - ETA: 3s - loss: 0.0312 - acc: 0.9881 354. 688/2000 [=========>....................] - ETA: 3s - loss: 0.0311 - acc: 0.9884 355. 704/2000 [=========>....................] - ETA: 3s - loss: 0.0304 - acc: 0.9886 356. 736/2000 [==========>...................] - ETA: 3s - loss: 0.0307 - acc: 0.9878 357. 752/2000 [==========>...................] - ETA: 3s - loss: 0.0301 - acc: 0.9880 358. 768/2000 [==========>...................] - ETA: 3s - loss: 0.0359 - acc: 0.9870 359. 800/2000 [===========>..................] - ETA: 3s - loss: 0.0345 - acc: 0.9875 360. 832/2000 [===========>..................] - ETA: 3s - loss: 0.0332 - acc: 0.9880 361. 864/2000 [===========>..................] - ETA: 3s - loss: 0.0319 - acc: 0.9884 362. 896/2000 [============>.................] - ETA: 3s - loss: 0.0318 - acc: 0.9877 363. 928/2000 [============>.................] - ETA: 3s - loss: 0.0307 - acc: 0.9881 364. 944/2000 [=============>................] - 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Epoch 41/50 410. 411. 16/2000 [..............................] - ETA: 5s - loss: 2.9561e-04 - acc: 1.0000 412. 32/2000 [..............................] - ETA: 6s - loss: 1.4786e-04 - acc: 1.0000 413. 64/2000 [..............................] - ETA: 5s - loss: 1.9173e-04 - acc: 1.0000 414. 80/2000 [>.............................] - ETA: 6s - loss: 1.5967e-04 - acc: 1.0000 415. 112/2000 [>.............................] - ETA: 6s - loss: 1.1718e-04 - acc: 1.0000 416. 144/2000 [=>............................] - ETA: 6s - loss: 9.7984e-05 - acc: 1.0000 417. 176/2000 [=>............................] - ETA: 6s - loss: 8.3259e-05 - acc: 1.0000 418. 192/2000 [=>............................] - ETA: 6s - loss: 1.5098e-04 - acc: 1.0000 419. 224/2000 [==>...........................] - ETA: 5s - loss: 3.8021e-04 - acc: 1.0000 420. 256/2000 [==>...........................] - ETA: 5s - loss: 3.3717e-04 - acc: 1.0000 421. 288/2000 [===>..........................] - ETA: 5s - loss: 3.0129e-04 - acc: 1.0000 422. 320/2000 [===>..........................] - 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Epoch 42/50 478. 479. 16/2000 [..............................] - ETA: 5s - loss: 0.0010 - acc: 1.0000 480. 48/2000 [..............................] - ETA: 5s - loss: 7.5196e-04 - acc: 1.0000 481. 80/2000 [>.............................] - ETA: 4s - loss: 0.0011 - acc: 1.0000 482. 112/2000 [>.............................] - ETA: 4s - loss: 7.9277e-04 - acc: 1.0000 483. 128/2000 [>.............................] - ETA: 5s - loss: 0.0049 - acc: 1.0000 484. 144/2000 [=>............................] - ETA: 5s - loss: 0.0043 - acc: 1.0000 485. 176/2000 [=>............................] - ETA: 5s - loss: 0.0037 - acc: 1.0000 486. 208/2000 [==>...........................] - ETA: 5s - loss: 0.0037 - acc: 1.0000 487. 240/2000 [==>...........................] - ETA: 5s - loss: 0.0032 - acc: 1.0000 488. 272/2000 [===>..........................] - ETA: 4s - loss: 0.0029 - acc: 1.0000 489. 304/2000 [===>..........................] - ETA: 4s - loss: 0.0026 - acc: 1.0000 490. 320/2000 [===>..........................] - 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Epoch 43/50 547. 548. 16/2000 [..............................] - ETA: 5s - loss: 6.3571e-04 - acc: 1.0000 549. 32/2000 [..............................] - ETA: 6s - loss: 0.0106 - acc: 1.0000 550. 48/2000 [..............................] - ETA: 6s - loss: 0.0071 - acc: 1.0000 551. 80/2000 [>.............................] - ETA: 5s - loss: 0.0743 - acc: 0.9875 552. 112/2000 [>.............................] - ETA: 5s - loss: 0.0531 - acc: 0.9911 553. 144/2000 [=>............................] - ETA: 5s - loss: 0.0417 - acc: 0.9931 554. 176/2000 [=>............................] - ETA: 5s - loss: 0.0341 - acc: 0.9943 555. 208/2000 [==>...........................] - ETA: 4s - loss: 0.0289 - acc: 0.9952 556. 240/2000 [==>...........................] - ETA: 4s - loss: 0.0251 - acc: 0.9958 557. 272/2000 [===>..........................] - ETA: 4s - loss: 0.0223 - acc: 0.9963 558. 304/2000 [===>..........................] - ETA: 4s - loss: 0.0205 - acc: 0.9967 559. 336/2000 [====>.........................] - 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6s 3ms/step - loss: 0.0272 - acc: 0.9935 - val_loss: 0.6954 - val_acc: 0.9113 620. Epoch 44/50 621. 622. 16/2000 [..............................] - ETA: 4s - loss: 0.0734 - acc: 0.9375 623. 48/2000 [..............................] - ETA: 4s - loss: 0.1275 - acc: 0.9375 624. 80/2000 [>.............................] - ETA: 4s - loss: 0.0768 - acc: 0.9625 625. 112/2000 [>.............................] - ETA: 4s - loss: 0.0549 - acc: 0.9732 626. 144/2000 [=>............................] - ETA: 4s - loss: 0.0836 - acc: 0.9722 627. 176/2000 [=>............................] - ETA: 4s - loss: 0.0684 - acc: 0.9773 628. 208/2000 [==>...........................] - ETA: 4s - loss: 0.0579 - acc: 0.9808 629. 240/2000 [==>...........................] - ETA: 4s - loss: 0.0516 - acc: 0.9833 630. 272/2000 [===>..........................] - ETA: 4s - loss: 0.0477 - acc: 0.9853 631. 304/2000 [===>..........................] - ETA: 3s - loss: 0.0429 - acc: 0.9868 632. 336/2000 [====>.........................] - ETA: 3s - loss: 0.0389 - acc: 0.9881 633. 368/2000 [====>.........................] - 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Epoch 45/50 690. 691. 16/2000 [..............................] - ETA: 4s - loss: 9.9615e-06 - acc: 1.0000 692. 48/2000 [..............................] - ETA: 4s - loss: 5.9457e-05 - acc: 1.0000 693. 80/2000 [>.............................] - ETA: 4s - loss: 4.5511e-05 - acc: 1.0000 694. 112/2000 [>.............................] - ETA: 4s - loss: 0.0016 - acc: 1.0000 695. 144/2000 [=>............................] - ETA: 4s - loss: 0.0012 - acc: 1.0000 696. 176/2000 [=>............................] - ETA: 4s - loss: 9.9961e-04 - acc: 1.0000 697. 208/2000 [==>...........................] - ETA: 4s - loss: 8.8525e-04 - acc: 1.0000 698. 240/2000 [==>...........................] - ETA: 4s - loss: 7.7075e-04 - acc: 1.0000 699. 272/2000 [===>..........................] - ETA: 4s - loss: 0.0015 - acc: 1.0000 700. 288/2000 [===>..........................] - ETA: 4s - loss: 0.0051 - acc: 0.9965 701. 320/2000 [===>..........................] - ETA: 4s - loss: 0.0049 - acc: 0.9969 702. 352/2000 [====>.........................] - 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Epoch 46/50 762. 763. 16/2000 [..............................] - ETA: 4s - loss: 0.0039 - acc: 1.0000 764. 48/2000 [..............................] - ETA: 4s - loss: 0.0020 - acc: 1.0000 765. 80/2000 [>.............................] - ETA: 4s - loss: 0.0012 - acc: 1.0000 766. 112/2000 [>.............................] - ETA: 4s - loss: 8.7608e-04 - acc: 1.0000 767. 144/2000 [=>............................] - ETA: 4s - loss: 6.8217e-04 - acc: 1.0000 768. 176/2000 [=>............................] - ETA: 4s - loss: 6.9596e-04 - acc: 1.0000 769. 208/2000 [==>...........................] - ETA: 4s - loss: 5.8926e-04 - acc: 1.0000 770. 240/2000 [==>...........................] - ETA: 4s - loss: 6.2508e-04 - acc: 1.0000 771. 272/2000 [===>..........................] - ETA: 4s - loss: 5.5344e-04 - acc: 1.0000 772. 304/2000 [===>..........................] - ETA: 4s - loss: 5.1553e-04 - acc: 1.0000 773. 336/2000 [====>.........................] - ETA: 4s - loss: 4.6863e-04 - acc: 1.0000 774. 368/2000 [====>.........................] - 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Epoch 47/50 829. 830. 16/2000 [..............................] - ETA: 5s - loss: 0.2486 - acc: 0.9375 831. 48/2000 [..............................] - ETA: 5s - loss: 0.0829 - acc: 0.9792 832. 80/2000 [>.............................] - ETA: 5s - loss: 0.0505 - acc: 0.9875 833. 112/2000 [>.............................] - ETA: 5s - loss: 0.0368 - acc: 0.9911 834. 144/2000 [=>............................] - ETA: 5s - loss: 0.0286 - acc: 0.9931 835. 176/2000 [=>............................] - ETA: 4s - loss: 0.0266 - acc: 0.9943 836. 208/2000 [==>...........................] - ETA: 4s - loss: 0.0225 - acc: 0.9952 837. 240/2000 [==>...........................] - ETA: 4s - loss: 0.0197 - acc: 0.9958 838. 256/2000 [==>...........................] - ETA: 4s - loss: 0.0220 - acc: 0.9922 839. 288/2000 [===>..........................] - ETA: 4s - loss: 0.0198 - acc: 0.9931 840. 320/2000 [===>..........................] - ETA: 4s - loss: 0.0184 - acc: 0.9938 841. 352/2000 [====>.........................] - 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Epoch 48/50 896. 897. 16/2000 [..............................] - ETA: 4s - loss: 1.0840e-07 - acc: 1.0000 898. 48/2000 [..............................] - ETA: 4s - loss: 1.8948e-05 - acc: 1.0000 899. 80/2000 [>.............................] - ETA: 4s - loss: 0.0237 - acc: 0.9875 900. 112/2000 [>.............................] - ETA: 4s - loss: 0.0170 - acc: 0.9911 901. 144/2000 [=>............................] - ETA: 4s - loss: 0.0132 - acc: 0.9931 902. 176/2000 [=>............................] - ETA: 4s - loss: 0.0110 - acc: 0.9943 903. 208/2000 [==>...........................] - ETA: 4s - loss: 0.0093 - acc: 0.9952 904. 240/2000 [==>...........................] - ETA: 3s - loss: 0.0081 - acc: 0.9958 905. 272/2000 [===>..........................] - ETA: 3s - loss: 0.0073 - acc: 0.9963 906. 304/2000 [===>..........................] - ETA: 3s - loss: 0.0329 - acc: 0.9934 907. 336/2000 [====>.........................] - ETA: 3s - loss: 0.0495 - acc: 0.9881 908. 368/2000 [====>.........................] - 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Epoch 49/50 966. 967. 16/2000 [..............................] - ETA: 4s - loss: 5.6955e-05 - acc: 1.0000 968. 48/2000 [..............................] - ETA: 5s - loss: 0.0306 - acc: 0.9792 969. 80/2000 [>.............................] - ETA: 5s - loss: 0.0225 - acc: 0.9875 970. 112/2000 [>.............................] - ETA: 5s - loss: 0.0253 - acc: 0.9821 971. 128/2000 [>.............................] - ETA: 5s - loss: 0.0241 - acc: 0.9844 972. 160/2000 [=>............................] - ETA: 5s - loss: 0.0192 - acc: 0.9875 973. 192/2000 [=>............................] - ETA: 5s - loss: 0.0160 - acc: 0.9896 974. 224/2000 [==>...........................] - ETA: 4s - loss: 0.0139 - acc: 0.9911 975. 256/2000 [==>...........................] - ETA: 4s - loss: 0.0126 - acc: 0.9922 976. 288/2000 [===>..........................] - ETA: 4s - loss: 0.0113 - acc: 0.9931 977. 320/2000 [===>..........................] - ETA: 4s - loss: 0.0101 - acc: 0.9938 978. 352/2000 [====>.........................] - 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Epoch 50/50 1042. 1043. 16/2000 [..............................] - ETA: 4s - loss: 2.8943e-05 - acc: 1.0000 1044. 48/2000 [..............................] - ETA: 4s - loss: 1.6005e-05 - acc: 1.0000 1045. 80/2000 [>.............................] - ETA: 4s - loss: 1.4879e-05 - acc: 1.0000 1046. 112/2000 [>.............................] - ETA: 4s - loss: 1.5480e-05 - acc: 1.0000 1047. 144/2000 [=>............................] - ETA: 4s - loss: 1.7468e-04 - acc: 1.0000 1048. 176/2000 [=>............................] - ETA: 4s - loss: 2.6033e-04 - acc: 1.0000 1049. 192/2000 [=>............................] - ETA: 4s - loss: 2.6066e-04 - acc: 1.0000 1050. 224/2000 [==>...........................] - ETA: 4s - loss: 2.2659e-04 - acc: 1.0000 1051. 256/2000 [==>...........................] - ETA: 4s - loss: 2.3789e-04 - acc: 1.0000 1052. 288/2000 [===>..........................] - ETA: 4s - loss: 8.2516e-04 - acc: 1.0000 1053. 320/2000 [===>..........................] - ETA: 4s - loss: 0.0120 - acc: 0.9938 1054. 352/2000 [====>.........................] - ETA: 4s - loss: 0.0109 - acc: 0.9943 1055. 384/2000 [====>.........................] - ETA: 4s - loss: 0.0100 - acc: 0.9948 1056. 400/2000 [=====>........................] - ETA: 4s - loss: 0.0097 - acc: 0.9950 1057. 416/2000 [=====>........................] - ETA: 4s - loss: 0.0093 - acc: 0.9952 1058. 432/2000 [=====>........................] - ETA: 4s - loss: 0.0090 - acc: 0.9954 1059. 448/2000 [=====>........................] - ETA: 4s - loss: 0.0086 - acc: 0.9955 1060. 480/2000 [======>.......................] - ETA: 4s - loss: 0.0081 - acc: 0.9958 1061. 512/2000 [======>.......................] - ETA: 4s - loss: 0.0076 - acc: 0.9961 1062. 544/2000 [=======>......................] - ETA: 4s - loss: 0.0071 - acc: 0.9963 1063. 576/2000 [=======>......................] - ETA: 4s - loss: 0.0067 - acc: 0.9965 1064. 592/2000 [=======>......................] - ETA: 4s - loss: 0.0065 - acc: 0.9966 1065. 608/2000 [========>.....................] - 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ETA: 0s - loss: 0.0068 - acc: 0.9965 1102. 1760/2000 [=========================>....] - ETA: 0s - loss: 0.0070 - acc: 0.9966 1103. 1792/2000 [=========================>....] - ETA: 0s - loss: 0.0069 - acc: 0.9967 1104. 1824/2000 [==========================>...] - ETA: 0s - loss: 0.0073 - acc: 0.9962 1105. 1856/2000 [==========================>...] - ETA: 0s - loss: 0.0072 - acc: 0.9962 1106. 1888/2000 [===========================>..] - ETA: 0s - loss: 0.0070 - acc: 0.9963 1107. 1920/2000 [===========================>..] - ETA: 0s - loss: 0.0070 - acc: 0.9964 1108. 1936/2000 [============================>.] - ETA: 0s - loss: 0.0082 - acc: 0.9959 1109. 1968/2000 [============================>.] - ETA: 0s - loss: 0.0124 - acc: 0.9949 1110. 2000/2000 [==============================] - 6s 3ms/step - loss: 0.0122 - acc: 0.9950 - val_loss: 0.7943 - val_acc: 0.9125