/explore
|
You are here 
|
charleslabs.fr | ||
| | | | |
algobeans.com
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. |
|
| | | | | ||
| | | | |
vankessel.io
A blog for my thoughts. Mostly philosophy, math, and programming. |
|
| | | | | ||
| | | | |
matt.might.net
[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 ... |
|
| | | | | ||
| | | | |
ben.bolte.cc
A quick introduction to using Theano for deep learning, from the bare-bones to a full neural network. |
|
| | | |||
