Given the programming code of Logistic Regression and Neural Networks do the following: Use the cat...

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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 different combination of 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] Number of neurons in Learning Rate the hidden layer Number of iterations Loss 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 different combination of 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] Number of neurons in Learning Rate the hidden layer Number of iterations Loss

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To provide classification using neural networks with the cat dataset we can use a deep learning fram... View the full answer