- Javascript
- Python
- Wekinator
- Machine Learning Disciplines
- Paid services
- Books and tutorials
- Community
- Demos and example projects
Javascript allows us to publish our projects online, and provides easy ways to visualise our results using html and css.
BrainJS is a library that allows you to instantiate a Neural Network, train it and run a classification in just a few lines of code.
- Source code and examples for BrainJS
- Traversy BrainJS introduction
- Recognise letters
- Recognise a drawing and code
- Advanced Image feature detection using BrainJS
The Javascript version of Google TensorFlow. TensorflowJS has lots of tutorials, and add-on libraries that make working with it even easier.
- Tensorflow for Javascript
- Hello World in Tensorflow.JS
- Basic tutorial for setting up Tensorflow Neural Network
- Tutorial course for Audio recognition
- Tutorial course for Webcam recognition
ML5 makes TensorFlowJS more accessible by supplying readymade examples with clear documentation for the most common Machine Learning projects, such as image classification, pose recogition, and text generation.
Pose Estimation using the Webcam with ML5 and TensorflowJS
- Magenta is a google library that uses tensorflow to generate images, music and sketches.
- Tutorial on drawing snowflakes with a Neural Network and Magenta
A perceptron is a Neural Network that has only one cell. You can code it by hand in just a few lines of code. This will help you to understand how one Neural Network cell calculates weights.
Synaptic is another Neural Network Library for Javascript
Python is used by data scientists and in many Machine Learning courses online. Python requires a bit more setup, especially when you want to visualise results graphically. Python can run on a Raspberry Pi!
- Udacity Intro to Machine Learning with Python
- Building a perceptron from scratch and source code
- Building camera detection on a raspberry pi
Science Kit Learn provides Python libraries, readymade datasets and algorithms for testing, and a visualisation tool. Get started running python with this tutorial:
Tensorflow is Google's Machine Learning API for Python
- Google Tensorflow tutorials
- Getting Started with TensorFlow
- Introduction to Deep Learning and Tensorflow
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow
Wekinator is a Graphical User Interface that can apply Machine Learning algorithms to Processing and Arduino sensor data.
- Image Recognition
- Natural Language Processing
- Speech Recognition
- Pose Estimation
- TrackingJS, an image recognition library for Javascript
- YOLO - you only look once Image recognition network, watch the cool intro movie!
- Vize.ai Recognize and automate your images
- Clarifai image and video recognition tool
- TensorFlow image recognition
- ImageNet - readymade training data for image recognition
- GoCV - Use the GO programming language for Computer Vision
Understanding the meaning of written text
- What are word vectors?
- Understanding Word2Vec Video by Daniel Shiffman
- Natural Language Processing with Spacy.io
Converting spoken audio into text
- Mozilla Deep Speech - blog post and code
- Google TacoTron Self-learning Speech Synthesizer
- Pocket Sphynx Speech Recognition
- Microsoft Machine Learning APIs
- Apple Core ML framework
- Machine Learning on Amazon Web Services
- Amazon Machine Learning Free Course
- Amazon Deep Racer
- The Mostly Complete Chart of Neural Networks
- Introduction to Deep Learning
- More algorithms for Machine Learning
- Neural Networks Wiki page
- Machine Learning for Humans
- Machine Learning for designers
- A visual introduction to Machine Learning
- Deep learning book
- Build more intelligent apps with machine learning(Apple)
- Researching the use of ML in creative applications
- Design in the era of the algorithm
- Human-Centered Machine Learning
- The UX of AI (Google Design)
- Linear algebra - the math behind ML algorithms
- Maths for Programmers
- Paul G Allen Course on Machine Learning algorithms
- Mastering Machine Learning with MatLab for Python
- Deep Learning Simplified - Youtube series
- Neural Networks and Deep Learning - book recommended by Tensorflow
- Deep Learning Gone Wrong - How ML expectations don't always match with results
- Read Arduino Sensor data from Node
- Classify an image in 5 lines of Javascript
- Teleport Vision - generates HTML from pen and paper sketches
- Build a perceptron in Processing
- Training a model in Unity using a neural network
- Neural Drum Machine and Voice-based beatbox created with MagentaJS
- Demo for creating a self-learning Flappy Bird in Javascript
- Algorithm notes
- Google AI experiments
- Building a cat detector on a Raspberry Pi
- Quick Draw! - Can a Neural Network detect a doodle?
- Pyro - Uber's AI programming language
- Runway - An app that adds ML to creative projects
- Pixling - Building a life simulation app with Neural Networks
- Building a self-driving Mario Kart using TensorFlow and documentation
