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

21 votes319 views5 answers
How to get input from list in python
Python
2 votes414 views3 answers
Run flask in debug mode
Python Flask
1 vote317 views1 answer
Combinations and permutations in python
Python
1 vote318 views1 answer
How to convert kg to g using python
Python
0 vote310 views1 answer
Check if key exists in sesson python flask
Python
32 votes336 views6 answers
If and else in python
Python
14 votes325 views6 answers
Value_counts pandas
Python
12 votes334 views4 answers
Unzip file python
Python
0 vote360 views1 answer
Tabpy Configuration file with custom settings
Python
-1 vote304 views2 answers
Beautifulsoup docs
Python