January 30, 2020

Gated Recurrent Unit (GRU) With PyTorch

https://blog.floydhub.com/gru-with-pytorch/ Have you heard of GRUs? The Gated Recurrent Unit (GRU) is the younger sibling of the more popular Long Short-Term […]
January 30, 2020

Long Short-Term Memory Networks with PyTorch

LSTMs are a particular variant of RNNs, therefore having a grasp of the concepts surrounding RNNs will significantly aid your […]
January 28, 2020

Recurrent Neural Networks (RNN) with PyTorch

Recurrent Neural Networks(RNNs) have been the answer to most problems dealing with sequential data and Natural Language Processing(NLP) problems for […]
January 11, 2020

Transfer Learning using PyTorch

Introduction to Transfer Learning Transfer Learning is a technique where a model trained for a certain task is used for […]
January 8, 2020

Understanding PyTorch with an example

Introduction PyTorch is the fastest growing Deep Learning framework and it is also used by Fast.ai in its MOOC, Deep Learning for Coders and its library. PyTorch is […]
January 8, 2020

PyTorch Graphs, Automatic Differentiation, and Autograd

PyTorch is one of the foremost python deep learning libraries out there. It’s the go to choice for deep learning […]
January 7, 2020

PyTorch Quick Tutorial

Overview What is PyTorch? How can you get started with it from scratch? We’ll cover all of that in this […]