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 ujjwalkarn.me
A Quick Introduction to Neural Networks - Ujjwal Karn's blog
| | matt.might.net
Hello, Perceptron: An introduction to artificial neural networks
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| | [AI summary] This text explains how a single perceptron can learn basic Boolean functions like AND, OR, and NOT, but fails to learn the non-linearly separable XOR function. This limitation led to the development of modern artificial neural networks (ANNs). The transition from single perceptrons to ANNs involves three key changes: 1) Adding multiple layers of perceptrons to create Multilayer Perceptron (MLP) networks, enabling modeling of complex non-linear relationships. 2) Introducing non-linear activation functions like sigmoid, tanh, and ReLU to allow networks to learn non-linear functions. 3) Implementing backpropagation and gradient descent algorithms for efficient training of multilayer networks. These changes allow ANNs to overcome the limitations of ...
| | vankessel.io
Introduction to Neural Networks | Kara van Kessel
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| | A blog for my thoughts. Mostly philosophy, math, and programming.
| | algobeans.com
Artificial Neural Networks (ANN) Introduction - Algobeans
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| | Modern smartphone apps allow you to recognize handwriting and convert them into typed words. We look at how we can train our own neural network algorithm to do this.
| | swethatanamala.github.io
NLP - Summary of Sequence to Sequence with Neural Networks ยท Swetha's Blog
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| The authors developed a straightforward application of the Long Short-Term Memory (LSTM) architecture which can solve English to French translation.