Detailed Analysis of PyTorch’s Autograd Mechanism

Detailed Analysis of PyTorch's Autograd Mechanism

Click the "Little White Learns Vision" above, select "Star" or "Top" Heavy content delivered at the first time Author: Vaibhav Kumar Compiled by: ronghuaiyang Introduction This article provides a detailed analysis of PyTorch’s autograd mechanism, helping you understand the core magic of PyTorch. In this process, it never explicitly constructs the entire Jacobian matrix. Directly … Read more

Understanding PyTorch Internals: Insights from Core Developer Edward Z. Yang

Understanding PyTorch Internals: Insights from Core Developer Edward Z. Yang

Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered instantly! Compiled by: Machine Heart, Author: Edward Z. Yang Edward Z. Yang, a PhD student at Stanford University and a research engineer at Facebook AI Research, is one of the core developers of the PyTorch open-source project. He gave a talk on the … Read more

Downloadable: 60-Minute Introduction to PyTorch (Full Translation)

Downloadable: 60-Minute Introduction to PyTorch (Full Translation)

Introduction The original text is translated from: Deep Learning with PyTorch: A 60 Minute Blitz Translated by: Lin Buqing(https://www.zhihu.com/people/lu-guo-92-42-88) Lin Buqing (Lin Yanyan) is my student. This is what I asked her to study when she started learning PyTorch, and she translated this tutorial into Chinese to share with everyone. I hope it helps you … Read more

Building and Experimenting with Neural Networks in PyTorch

Building and Experimenting with Neural Networks in PyTorch

Follow our official account “ML_NLP“ Set as “Starred“, heavy content delivered first hand! Author | Tirthajyoti Sarkar Source | Medium Editor | Code Doctor Team Introduction This article will demonstrate a simple step-by-step process to build a PyTorch 2-layer neural network classifier (fully connected) to illustrate some key features and styles. PyTorch provides great flexibility … Read more

In-Depth Analysis of PyTorch Dynamic Graphs

In-Depth Analysis of PyTorch Dynamic Graphs

Click on the above“Beginner’s Guide to Vision”, select to add “Bookmark” or “Pin” Heavyweight content delivered at the first moment This article is adapted from: Deep Learning Matters Background The dynamic graph framework of PyTorch is primarily implemented in the code under torch/csrc/autograd. This directory defines three main base classes: Variable, Function, Engine, which together … Read more

Comprehensive Insights into PyTorch Internals from Core Developer

Comprehensive Insights into PyTorch Internals from Core Developer

Source: Ezyang Blog Information Network Engineering Research Center This article is approximately 9000 words long and is recommended for a reading time of over 15 minutes. This article is a long version of a talk about the internal mechanisms of PyTorch. Edward Z. Yang, a PhD student at Stanford University and a research engineer at … Read more