1. Textbook 10.1 (A) draw the network structure (B) Use SK-Learn package to program
2. Textbook 10.8
3. Textbook 10.9
4. For the deep learning Neural Network structures CNN, RNN, GNN, list couple of usage scenarios for each structure respectively. 
5. Why for the RNN, the hidden layer not only takes input from the input layer, also takes into from the node ahead of it?
6. In CNN, what are the convolutional layer composed of? 
7. When doing backpropagation to train the network, what are parameters you need to adjust for MLP(Multiple Layer Perceptron), CNN, and RNN respectively?
8. What are the mostly commonly used Loss Function in the NN training?
9. List 3 mostly commonly used methods to improve the Neural Network training. 
Please show your own original work. Direct copy from an answer key or duplicated homework isn’t accepted. 
below i attached all the class note slides  textbook pdf attached as well . i also attached the exact  screen shot of how the asssignment explaning  instructions looks