Establishing baselines and exploring learning rate sensitivity - the first steps in neural network experimentation.
Machine-Learning
Neural Network Experiments: Setting a Baseline Building a Neural Network (Part 2) Testing the neural network implementation training on logic gates, visualising decision boundaries, and understanding what the network actually learned.
Building a Neural Network (Part 1) Learning how neural networks work by implementing one from scratch. Part 1 covers the core building blocks: matrices, activations, and backpropagation.
Hello, ML World Taking the first steps into machine learning