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

0 vote244 views10 answers
Convert c code to python online free
Python
81 votes289 views6 answers
Python convert string to date
Python
2 votes254 views1 answer
Python type of column
Python
1 vote287 views1 answer
Count decimal number python
Python
-3 votes278 views1 answer
How to install chatterbot from github
Python
19 votes257 views1 answer
Pygame scale image python
Python
0 vote309 views1 answer
Soup findall table
Python
0 vote256 views1 answer
List out the groups from groupby
Python
0 vote251 views1 answer
Numpy symmetrize array
Python
0 vote264 views1 answer
How to update phyton to phycram
Python