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 vote157 views1 answer
Regex find all sentences python
Python
1 vote134 views2 answers
Os path splitext
Python
1 vote178 views1 answer
Matplotlib log2 xaxis
Python
2 votes156 views2 answers
Python search first occurrence in string
Python
1 vote149 views1 answer
Pandas replace colomns location
Python
0 vote130 views1 answer
Install python packages behind proxy
Python
1 vote133 views1 answer
How to print hello world 10 times in python
Python
0 vote152 views1 answer
Geopandas españa map
Python
0 vote153 views1 answer
Extract area code from phone number python
Python
4 votes170 views1 answer
Give answer in 6 decimal python
Python