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 kavita-ganesan.com
A Gentle Introduction to Deep Neural Networks with Python - Kavita Ganesan, PhD
| | programminghistorian.org
Creating Deep Convolutional Neural Networks for Image Classification | Programming Historian
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| | [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.
| | 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.
| | www.analyticsvidhya.com
What is Recurrent Neural Networks (RNN)?
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| | Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.
| | blog.vstelt.dev
Writing a Neural Network from Scratch in Rust
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| [AI summary] The article explains the process of building a neural network from scratch in Rust, covering forward and backward propagation, matrix operations, and code implementation.