Question

Given the programming code of Logistic Regression and Neural Networks do the following: Use the cat data set to provide classification using neural networks. Try a different combination of the number of neurons in the hidden layer and learning rate and compare the efficiency of the trained model. In short, you have to fill the following table with all the combinations of the following number of neurons = [5,10,15,20] and learning rate = [.5,.05,.005,.005]

the data set are : train_catvnoncat.h5 , test_catvnoncat.h5

Code: logistic regression.ipynb

can be found online.​

Answer 1

Answer:

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