PyTorch Tutorial

PyTorch is defined as an open source machine learning library for Python. It is used for applications such as natural language processing.

PyTorch redesigns and implements Torch in Python while sharing the same core C libraries for the backend code.

PyTorch developers tuned this back-end code to run Python efficiently.

They also kept the GPU based hardware acceleration as well as the extensibility features that made Lua-based Torch.

List of topics covered in this tutorial :

PyTorch - Introduction

PyTorch - Installation

Mathematical Building Blocks of Neural Networks

PyTorch - Neural Network Basics

Universal Workflow of Machine Learning

PyTorch - Machine Learning vs. Deep Learning

PyTorch - Implementing First Neural Network

PyTorch - Neural Networks to Functional Blocks

PyTorch - Terminologies

PyTorch - Loading Data

PyTorch - Linear Regression

PyTorch - Convolutional Neural Network

PyTorch - Recurrent Neural Network

PyTorch - Datasets

PyTorch - Introduction to Convents

PyTorch - Training a Convent from Scratch

PyTorch - Feature Extraction in Convents

PyTorch - Visualization of Convents

PyTorch - Sequence Processing with Convents

PyTorch - Word Embedding

PyTorch - Recursive Neural Networks