The second week will build a neural network with one dense layer but using only tensors and standard operations. Then we update the definition using the PyTorch library to offer better functionality.

Goals:

• understanding the neural network representation and the optimization process,
• using `Dataset` and `DataLoader` classes to manipulate training data,
• learning the basics of the `nn.Module` class and `torch.optim` library,
  
• switching between 'GPU' and 'CPU' computation.