CODEWITHSUNDEEP
python-3.xtensorflowkerasdeep-learningconv-neural-network
Sahar Metwally
Sahar Metwally

Reputation: 79

How to get training accuracy for a model after completing the training process?

Is there a way to calculate the training accuracy after completing training process with Keras or Tensorflow?

Upvotes: 3

Views: 2706

Answers (1)

Vishnuvardhan Janapati
Vishnuvardhan Janapati

Reputation: 3288

model.history has all the information required.

For example, after running model for 5 epochs, you can access the loss and accuracy as follows

history=model.history.history
print(history)
{'loss': [0.2212433920122683, 0.097910506768773, 0.06874677832927555, 0.05441241036520029, 0.0430859369851804], 'accuracy': [0.9342333, 0.9698667, 0.97786665, 0.98211664, 0.9856]}

If you want to access loss and accuracy during model.evaluate, you can do as follows

history2 =model.evaluate(x_test, y_test)
print(history2) # output[0.07691180044879548, 0.9772]

Upvotes: 3

Related Questions