Pytorch for Neural Networks Part 6: Understanding Epochs and Loss

In the previous article , we prepared everything needed to optimize our neural network and find the ideal value for the final bias . In this article, we will begin implementing the optimization process. Creating the Optimizer First, we create an optimizer object . We will use Stochastic Gradient Descent (SGD) to optimize final_bias . optimizer = SGD ( model . parameters (), lr = 0.1 ) To optimize final_bias , we pass: model . parameters () to SGD . PyTorch will automatically optimize every param