Using automatic differentiation as a general framework for ptychographic reconstruction (Journal Article) | DOE PAGES
Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering, 50): Bücker, H. Martin, Corliss, George, Hovland, Paul, Naumann, Uwe, Norris, Boyana: 9783540284031: Amazon.com: Books
Automatic differentiation - Wikipedia
Automatic Differentiation Part 1: Understanding the Math - PyImageSearch
Reverse mode automatic differentiation: First, the function f(g(l, r))... | Download Scientific Diagram
Deep Learning Library From Scratch 4: Automatic differentiation - DEV Community
Automatic Differentiation, Explained | by Chi-Feng Wang | Towards Data Science
Generalization of differential ray tracing by automatic differentiation of computational graphs
Automatic Differentiation with torch.autograd — PyTorch Tutorials 2.0.0+cu117 documentation
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PDF] Automatic differentiation in geophysical inverse problems | Semantic Scholar
PyTorch Basics: Understanding Autograd and Computation Graphs
A Functional Tour of Automatic Differentiation
Automatic Differentiation - YouTube
Automatic Differentiation - an overview | ScienceDirect Topics
A Functional Tour of Automatic Differentiation
Inverse Hamiltonian design by automatic differentiation | Communications Physics
![PDF] Automatic differentiation in machine learning: a survey | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/da118b8aa99699edd7609fbbd081d5b93bc2e87b/3-Figure1-1.png "PDF] Automatic differentiation in machine learning: a survey | Semantic Scholar")
PDF] Automatic differentiation in machine learning: a survey | Semantic Scholar
Using TensorFlow and GradientTape to train a Keras model - PyImageSearch
A Gentle Introduction to Automatic Differentiation | by Pablo Monteagudo Lago | Towards AI
From automatic differentiation to message passing - YouTube
Overview of PyTorch Autograd Engine | PyTorch
