输出结果
核心代码
x, t = get_data()
network = init_network()
batch_size = 100
accuracy_cnt = 0
for i in range(0, len(x), batch_size):
x_batch = x[i:i+batch_size]
y_batch = predict(network, x_batch)
p = np.argmax(y_batch, axis=1)
accuracy_cnt += np.sum(p == t[i:i+batch_size])
print("批处理—Accuracy:" + str(float(accuracy_cnt) / len(x)))
