In the world of deep learning, understanding how frameworks like PyTorch operate can be transformative for anyone looking to build and optimize neural networks. This guide explores essential PyTorch concepts—from understanding nn.Module and SOFTMAX, to mastering __call__ versus forward, nn.Sequential, and more. Let’s delve into the neural network architecture, exploring how to maximize its potential … Continue reading PyTorch_3 nn.Module and SOFTMAX, nn.Sequential, and more