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 vote234 views1 answer
Cmake python interpreter
Python
0 vote244 views1 answer
Configparser error reading relative file path
Python
20 votes236 views1 answer
Python time a funciton
Python
5 votes235 views4 answers
Python debugger
Python
13 votes247 views3 answers
How to create tkinter window
Python
0 vote230 views1 answer
Python how to close the turtle tab on click
Python
0 vote252 views1 answer
Extract month as integer python
Python
2 votes230 views1 answer
Lcm math python library
Python
0 vote225 views1 answer
Why tensorflow not working in .py file
Python
0 vote224 views1 answer
Difference between calling a function and referencing a function python
Python