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 newvick.com
Understanding Backpropagation Newvick's blog
| | 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.
| | windowsontheory.org
Yet another backpropagation tutorial - Windows On Theory
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| | (Updated and expanded 12/17/2021) I am teaching deep learning this week in Harvard's CS 182 (Artificial Intelligence) course. As I'm preparing the back-propagation lecture, Preetum Nakkiran told me about Andrej Karpathy's awesome micrograd package which implements automatic differentiation for scalar variables in very few lines of code. I couldn't resist using this to show how...
| | comsci.blog
Understanding and Building Neural Networks: A Step-by-Step Guide from Scratch | ML and robotics notes
3.5 parsecs away

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| | In this tutorial, we will learn two different methods to implement neural networks from scratch using Python: Extremely simple method: Finite difference Still a very simple method: Backpropagation
| | saturncloud.io
Speeding up Neural Network Training With Multiple GPUs and Dask | Saturn Cloud Blog
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| By combining Dask and PyTorch you can easily speed up training a model across a cluster of GPUs. But how much of a benefit does that bring? This blog post finds out!