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

2 votes130 views2 answers
Array of random integers python
Python
2 votes127 views1 answer
Python search for word is in column
Python
5 votes141 views2 answers
How to get selected value from listbox in tkinter
Python
1 vote131 views1 answer
Get video length python
Python
0 vote124 views1 answer
Print last exceuted query python
Python
4 votes125 views2 answers
Sum group by pandas and create new column
Python
1 vote134 views1 answer
Python while false loop
Python
82 votes158 views6 answers
Python version command
Python
0 vote146 views1 answer
Pandas series draw distribution
Python
58 votes134 views6 answers
Sum of list in python
Python