- An implementation of a simple neural network_
- Done in Python and Numpy, with no external machine learning framework used_
The purpose of this project was to build a simple and lighweight neuralNetwork framework. It covers:
- Graphs
- Forward and Back Propagation
- Linear Transform
- Sigmoid Activation Function
- Cost
- Gradient Descent
- Stochastic Gradient Descent
- Learning and Loss