Pytorch, Torch, Torchvision, Deep Learning, Python.
distributions, weights, optimizers, and gradients of the loss. Hence we introduced each of these elements by a proper example and interpretation. Finally, we build a deep Convolutional Layer to train over the well-known image classification dataset called MNIST and train the model. You can also