Neural Network Fundamentals and Experiments

This repository contains my structured learning notes and experiments on Artificial Neural Networks (ANN) and Deep Learning fundamentals.

Topics Covered

1. Gradient Descent and Loss Minimization
2. Forward Propagation in ANN
3. Importance of Activation Functions
4. Sigmoid Activation Function
5. Softmax Activation Function
6. Structure and Working Mechanism of ANN
7. TensorFlow Playground Spiral Dataset Experiment