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You are here		neuralnetworksanddeeplearning.com Neural networks and deep learning
|	|	www.3blue1brown.com 3Blue1Brown - Gradient descent, how neural networks learn	1.0 parsecs away Travel
|	|	An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
|	|	mathspp.com Neural networks fundamentals with Python - backpropagation | mathspp	1.6 parsecs away Travel
|	|	The third article of this short series concerns itself with the implementation of the backpropagation algorithm, the usual choice of algorithm used to...
|	|	programminghistorian.org Creating Deep Convolutional Neural Networks for Image Classification | Programming Historian	1.5 parsecs away Travel
|	|	[AI summary] The text provides an in-depth explanation of using neural networks for image classification, focusing on the Teachable Machine and ml5.js tools. It walks through creating a model, testing it with an image, and displaying results on a canvas. The text also discusses the limitations of the model, the importance of training data, and suggests further resources for learning machine learning.
|	|	www.paepper.com Training a neural network with Numpy :: Päpper's Machine Learning Blog - This blog features state of the art applications in ...	12.9 parsecs away Travel
|		[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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