Keras：如何在每个 epoch 之后存储历史？

Question

I want to change my input after every epoch and at the end I want to plot learning curve.

To change the input I have function which I can use as below

for _ in range(num_epochs):
    x, y = generate_data()
    history = model.fit(x, y, epochs=1, batch_size=64)

But I am not able to capture the complete history for my model. How can I access it and plot learning curve?

Answer 1

You can use a dictionary to store the history .

history_dict = dict()

for i in range(num_epochs):
    x, y = generate_data()
    history_dict['epoch_%i' % i] = model.fit(x, y, epochs=1, batch_size=64)

It will give something like that:

Out[4]: 
{'epoch_0': <your history 1>,
 'epoch_1': <your history 2>,
 'epoch_2': <your history 3>,