Pytorch

Today, I will take you through a simple next-word prediction model built using PyTorch. The inspiration for this, is of course predictive text - or more specifically Google’s Smart Compose. At its core, the Google Smart Compose model is a form of language model. Smart Compose uses a few words the user inputs and then predicts the following words or sentences in emails you want to write. Google details how they build their Smart Compose feature in their research blog post here....

Recently I’ve found myself wanting to dig a bit deeper into PyTorch to really understand how it works and hopefully figure out how to expand on my skillset to try new things. To aid this, I’ve been following the Deep Learning with PyTorch book by Eli Stevens, Luca Antiga and Thomas Viehmann. The book itself has been great and highly useful. I recommend it to anyone. In my observations, one the hardest things for newer users of PyTorch to understand is how to train a model....