How to build a neural network without convolutional layers


Problem

A. How to build a neural network without convolutional layers to do the classification task (hint: you will need the use of dense layers). Then, you can change the model structure (i.e., number of dense layers, number of neurons in dense layers, or activation functions), to be able to improve network performance.

B. How to build a neural network with the use of convolutional layers (you can decide other layer types you want to include in your network). Then, you can change: the number of convolutional layers, the number of filters, or activation function functions in convolutional layers, to be able to improve network performance.

C. Change the type of optimizer or learning rate that you applied in the previous tasks, and see how these changes can influence model performance (You can keep the final network structure you applied in task B, and try at least one different optimizer setting).

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Computer Networking: How to build a neural network without convolutional layers
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