I enjoyed this tutorial as a first step into the world of deep learning frameworks. For context, I recently finished the Machine Learning course on Coursera.

I liked the parallel constructions of the neural network and the transition from linear algebra to framework. I really appreciate the ease of use of PyTorch, which pushed me over the edge into actually doing something useful with deep learning.

I managed to get through this tutorial and make a submission to the kaggle digit recognizer competition in the span of a few hours. I'm excited to figure out how to train a model more efficiently, which seems to difficult problem of choosing network hyperparameters.