Keras plot history

import keras
from matplotlib import pyplot as plt
history = model1.fit(train_x, train_y,validation_split = 0.1, epochs=50, batch_size=4)
plt.plot(history.history['acc'])
plt.plot(history.history['val_acc'])
plt.title('model accuracy')
plt.ylabel('accuracy')
plt.xlabel('epoch')
plt.legend(['train', 'val'], loc='upper left')
plt.show()

Source: stackoverflow.com

Plotting keras model trainning history

history = model.fit()
print(history.history.keys())

import matplotlib.pylab as plt
from matplotlib.pyplot import figure
figure(figsize=(8, 6))
plt.plot(history.history['loss'])
plt.plot(history.history['val_loss'])
plt.title('model loss')
plt.ylabel('loss')
plt.xlabel('epoch')
plt.legend(['train', 'test'], loc='upper left')
plt.show()

Similar codes

1 vote128 views1 answer
Python try/except loop
Python
7 votes121 views1 answer
How to get user location in python
Python
0 vote121 views1 answer
Python increment char a to b az to ba
Python
0 vote177 views1 answer
App is not a registered namespace django
Python Django
1 vote113 views2 answers
Django template iterate dict
Python
48 votes121 views6 answers
Python read file line by line
Python
9 votes138 views6 answers
Python sort list
Python
0 vote130 views1 answer
Arithmetic encoding python
Python
69 votes137 views3 answers
Reverse the words in a string python
Python
0 vote130 views2 answers
Dataframe multiindex query
Python