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 robotchinwag.com
Gradients of Matrix Multiplication in Deep Learning | Robot Chinwag
| | marcospereira.me
Backpropagation From Scratch-Marcos Pereira
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| | In this post we summarize the math behind deep learning and implement a simple network that achieves 85% accuracy classifying digits from the MNIST dataset.
| | bytepawn.com
Bytepawn - Marton Trencseni - PyTorch Basics: Solving the Ax=b matrix equation with gradient descent
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| | I will show how to solve the standard A x = b matrix equation with PyTorch. This is a good toy problem to show some guts of the framework without involving neural networks.
| | dennybritz.com
Recurrent Neural Networks Tutorial, Part 3 - Backpropagation Through Time and Vanishing Gradients ยท Denny's Blog
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| | This the thirdpart of the Recurrent Neural Network Tutorial.
| | blog.ephorie.de
Logistic Regression as the Smallest Possible Neural Network - Learning Machines
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| [AI summary] The blog post explores the connection between logistic regression and neural networks, demonstrating how logistic regression can be viewed as the simplest form of a neural network through mathematical equivalence and practical examples.