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 votes272 views1 answer
How to change button background color while clicked tkinter python
Python
1 vote262 views1 answer
Flask run app reset on change
Python Flask
17 votes279 views4 answers
Python get average of list
Python
1 vote267 views1 answer
Python change name of the imported function
Python
0 vote308 views3 answers
From unix timestamp to datetime pandas
Python
2 votes248 views4 answers
Python how to draw a circle
Python
1 vote275 views5 answers
How to connect an ml model to a web application
Python
0 vote259 views2 answers
Icpc preliminary 2018 problem
Python
0 vote256 views2 answers
Max between two numbers python
Python
1 vote250 views1 answer
Exclude first value of an array python
Python