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 karpathy.ai
Neural Networks: Zero To Hero
| | golb.hplar.ch
Building a simple neural network with Java and JavaScript
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| | [AI summary] The blog post details the author's experience implementing a feedforward neural network for digit recognition using Java and JavaScript, explaining the underlying algorithms, shared external libraries, and architectural decisions while reviewing an introductory book on the topic.
| | www.paepper.com
Training a neural network with Numpy :: Päpper's Machine Learning Blog - This blog features state of the art applications in ...
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| | [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.
| | bdtechtalks.com
Machine learning: What is the transformer architecture? - TechTalks
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| | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.
| | programmathically.com
Understanding The Exploding and Vanishing Gradients Problem - Programmathically
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| Sharing is caringTweetIn this post, we develop an understanding of why gradients can vanish or explode when training deep neural networks. Furthermore, we look at some strategies for avoiding exploding and vanishing gradients. The vanishing gradient problem describes a situation encountered in the training of neural networks where the gradients used to update the weights []