Convolutional Neural Networks Tutorial in PyTorch
In a previous introductory tutorial on neural networks, a three layer neural network was developed to classify the hand-written digits of the MNIST dataset. In the end, it was able to achieve a classification accuracy around 86%. For a simple data set such as MNIST, this is actually quite poor. Further optimizations can bring densely… Read More »Convolutional Neural Networks Tutorial in PyTorch