This lab is about Deep Learning. You will download the main frameworks and learn how to use them by running examples provided. a) Clone and enter the repository with the examples. git clone https://github.com/cmranieri/dl_tutorial cd dl_tutorial b) Please check the results of every experiment in the following sections. Part 1: a) Check the code from mnist_mlp.py and run it. b) Leave it with only one hidden layer, remove the dropouts and run it again. c) Change the activation of the hidden layer to a "sigmoid", the loss function to mse (mean squared error). d) Change the optimization algorithm to "sgd" (Stochastic Gradient Descent). This lab is about Deep Learning. You will download the main frameworks and learn how to use them by running examples provided. a) Clone and enter the repository with the examples. git clone https://github.com/cmranieri/dl_tutorial cd dl_tutorial b) Please check the results of every experiment in the following sections. Part 1: a) Check the code from mnist_mlp.py and run it. b) Leave it with only one hidden layer, remove the dropouts and run it again. c) Change the activation of the hidden layer to a "sigmoid", the loss function to mse (mean squared error). d) Change the optimization algorithm to "sgd" (Stochastic Gradient Descent)