What is the nn.Module class in PyTorch?
In PyTorch, nn.Module serves as a base class for defining all layers of a neural network model. By inheriting from nn.Module, we can easily build and manage our own neural network models and utilize PyTorch’s automatic gradient calculation for training and optimization.
The main purpose of the nn.Module class includes:
- Encapsulate all layers and operations of the neural network for ease of management and access.
- send forwards
- Easily save and load model state, as well as run models on GPU.
In conclusion, the nn.Module class is a very important class in PyTorch used for constructing and managing neural network models.
