Why I'm getting bad result with Keras vs random forest or knn?

Question

I\'m learning deep learning with keras and trying to compare the results (accuracy) with machine learning algorithms (sklearn) (i.e random fo

Answer 1

Adding some dropout might help you improve accuracy. See Tensorflow's documentation for more information.

Essentially how you add a Dropout layer is just very similar to how you added those Dense() layers.

model.add(Dropout(0.2)

Note: The parameter '0.2 implies that 20% of the connections in the layer is randomly omitted to reduce the interdependencies between them, which reduces overfitting.