- PyTorch - Discussion
- PyTorch - Useful Resources
- PyTorch - Quick Guide
- PyTorch - Recursive Neural Networks
- PyTorch - Word Embedding
- Sequence Processing with Convents
- PyTorch - Visualization of Convents
- PyTorch - Feature Extraction in Convents
- Training a Convent from Scratch
- PyTorch - Introduction to Convents
- PyTorch - Datasets
- PyTorch - Recurrent Neural Network
- PyTorch - Convolutional Neural Network
- PyTorch - Linear Regression
- PyTorch - Loading Data
- PyTorch - Terminologies
- Neural Networks to Functional Blocks
- Implementing First Neural Network
- Machine Learning vs. Deep Learning
- Universal Workflow of Machine Learning
- PyTorch - Neural Network Basics
- Mathematical Building Blocks of Neural Networks
- PyTorch - Installation
- PyTorch - Introduction
- PyTorch - Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
PyTorch Tutorial
PyTorch is an open source machine learning pbrary for Python and is completely based on Torch. It is primarily used for apppcations such as natural language processing. PyTorch is developed by Facebook s artificial-intelpgence research group along with Uber s "Pyro" software for the concept of in-built probabipstic programming.
Audience
This tutorial has been prepared for python developers who focus on research and development with machinelearning algorithms along with natural language processing system. The aim of this tutorial is to completely describe all concepts of PyTorch and realworld examples of the same.
Prerequisites
Before proceeding with this tutorial, you need knowledge of Python and Anaconda framework (commands used in Anaconda). Having knowledge of artificial intelpgence concepts will be an added advantage.
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