April 2019
Intermediate to advanced
426 pages
11h 13m
English
Content preview from Mastering Python for Finance - Second Edition
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Displaying recorded events in Keras history
Let's review the callback_history variable, which is the History object populated during the fit() command. The History.history attribute is a dictionary containing four keys, storing the accuracy and loss values during training and validation. These are represented as a list of values saved after every epoch. Extract this information into separate variables:
In [ ]: train_acc = callback_history.history['acc'] val_acc = callback_history.history['val_acc'] train_loss = callback_history.history['loss'] val_loss = callback_history.history['val_loss']
Plot the training and validation loss with the following codes:
In [ ]: %matplotlib inline import matplotlib.pyplot as plt epochs = range(1, ...
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