This document discusses using the Synaptic.js library to create and train neural networks in JavaScript for machine learning tasks like handwritten digit recognition. It explains how to initialize and train a network with Synaptic, use the trained network to classify input data, and provides additional resources for learning neural network principles, including videos and a website with a full example of digit recognition.

1. Neural networks
in JavaScript

2. Machine learning shifts the focus of dev work
Our responsibility Black magic

3. Synaptic.js makes complicated concepts simple

4. Initializing a neural network with Synaptic

5. Training a network with Synaptic

6. Using the trained network
digitMatrix: 28x28 array of pixel lightness (values between 0 and 1)
networkResult: [0.01, 0, 0.2, 0, 0.9999, 0, 0, 0.032, 0, 0.1, 0]

7. Demo
Recognizing hand-written digits

8. Sources for understanding neural network
principles
- “How Machines Learn” by CGP Grey (~10min)
- “But what *is* a Neural Network?” series by 3Blue1Brown (~1h total)
- http://neuralnetworksanddeeplearning.com, has complete walkthrough of
the digit recognition example

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