ANN

Artificial Neural Networks (ANNs) represent the foundational idea behind modern machine learning and deep learning systems.

This section focuses on understanding how machines learn from data using interconnected layers of neurons. The emphasis is on core concepts such as forward propagation, backpropagation, loss optimization, and how simple neural architectures can solve classification and regression problems.

Rather than treating ANNs as black boxes, the goal here is to understand how learning actually happens at a fundamental level and how these ideas scale into more complex architectures.