/MLBasics-ANN

A Lesson and an interactive Tool for learning Artificial Neural Networks. (Implementation of Forward/Backprop algorithm using numpy)

Primary LanguagePython

ML Basics (Part-3): Artificial Neural Networks

An Interactive Visualization Tool for Understanding and Learning the Concept

demo

Requirements

  • Python 3
  • Ipython widgets
  • Scipy Optimization Toolkit

Running The Notebook

  • Open the Notebook in Google Colab or local jupyter server
  • Install the requirements
  • Restart the kernel if necessary

The tutorial 📃

The full tutorial is available on following links:

On Medium:

https://azad-wolf.medium.com/ml-basics-part-3-artificial-neural-networks-879851bcd217

On Substack:

https://azadwolf.substack.com/p/ml-basics-part-3-artificial-neural

More Details in the Book Chapter 📃