Neural Networks with PyTorch and Lightning AI Part 3: Moving Training Logic into Lightning

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In the previous series, when we optimized our neural network, we had to write quite a bit of training code ourselves. First, we created an optimizer object that used Stochastic Gradient Descent (SGD) to optimize final_bias. Then we wrote loops to calculate the derivatives required for gradient descent. We trained the model for up to 100 epochs. For each training example, we: Ran the input through the