Layers
Explore the basics of layers in PyTorch, focusing on their function within neural networks. Learn how linear layers fit into regression models and how to build and name layers using Sequential and add_module methods. Understand the variety of layer types available to enhance your model development skills.
We'll cover the following...
We'll cover the following...
Introduction to layers
A Linear model can be seen as a layer in a neural network.
In the example above, the hidden layer would be nn.Linear(3, 5) (since it takes 3 inputs from the input layer, and generates 5 outputs), and the output layer would be nn.Linear(5, 1) (since it takes 5 inputs, the outputs ...