Activation Functions in Neural Networks: Intuition, Visuals, and Trade-offs
Why activation functions matter, popular choices, and how they shape learning—illustrated.
Neural-networks
- Building a PyTorch RNN-Based Question Answering SystemLearn how to build a simple RNN-based QA system using PyTorch from scratch - covering tokenization, embeddings, and sequence modeling.
- What is Feed Forward? Understanding the Foundation of Neural NetworksFeed forward is the fundamental process in neural networks where data flows unidirectionally from input to output layers, enabling pattern recognition and prediction without feedback loops.