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

7 votes302 views1 answer
Learn python the hard way pdf
Python
-1 vote357 views1 answer
Python scatterplot figsize
Python
0 vote326 views5 answers
Representation of multidimensional array in data structure
Python
0 vote330 views1 answer
Python __getattr__ geeksforgeeks
Python
0 vote327 views1 answer
Counter python time complexity
Python
2 votes316 views1 answer
Django register models
Python Django
-1 vote301 views1 answer
Example exponential distribution python
Python
3 votes309 views3 answers
Send dm to user discord.py
Python
7 votes316 views3 answers
Pandas empty dataframe with column names
Python
0 vote326 views1 answer
Turn off subplot
Python