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viralfsharp.com | ||
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www.paepper.com
[AI summary] This article explains how to train a simple neural network using Numpy in Python without relying on frameworks like TensorFlow or PyTorch, focusing on the implementation of ReLU activation, weight initialization, and gradient descent for optimization. |
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vxlabs.com
I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time. |
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www.chrisritchie.org
[AI summary] The article discusses the application of neural networks to stock market prediction, explaining how they assign dynamic weights to various inputs like historical prices, expert opinions, and internet usage to improve forecasting accuracy. |
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futurism.com
This post was originally written by Manan Shah as a response to a question on Quora. |
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