This is the repository for D-Lab’s Artificial Neural Network (ANN) Fundamentals in Python workshop. These materials were authored and contributed by Qingkai Kong based on several of his excellent blog posts:
Machine learning 1 - What is machine learning and real world example
Machine learning 2 - Types of Machine Learning
Machine learning 3 - Artificial Neural Networks - part 1- Basics
Machine learning 4 - Artificial Neural Networks - part 2- Step by step implement Perceptron
Machine learning 5 - Artificial Neural Networks - part 3- Step by step implement Muti-Layer Perceptron
Machine learning 6 - Artificial Neural Networks - part 4- sklearn MLP classification example
Machine learning 9 - More on Artificial Neural Network
Content outline:
- Gentle introduction
- What is machine learning?
- History of artificial neural networks (ANN)
- Overview of ANNs - how they work
- Step by step instructions for building ANN
- Perceptron
- Backpropagation
- Bias
- Activation function
- Calculating error example
- Real world example
- scikit learn