By scipio on Skatehive
Learn AI Series (#7) - The Training Loop - See It Work Step by Step What will I learn You will learn how to assemble a complete training loop from the pieces we built in episodes #4 through #6; how to watch a model actually learn -- with loss decreasing step by step; what convergence looks like and how to recognize it in practice; what happens when the learning rate is wrong (too big, too small, just right); when to stop training -- patience and early stopping; how to test whether your model learned something real or just memorized noise; that gradient descent is the foundation that every ML algorithm builds on. Requirements A working modern computer running macOS, Windows or Ubuntu; An installed Python 3(.11+) distribution; The ambition to learn AI and machine learning. Difficulty Beginner Curriculum (of the Learn AI Series): Learn AI Series (#1) - What Machine Learning Actually Is Learn AI Series (#2) - Setting Up Your AI Workbench - Python and NumPy Learn AI Series (#3) - Your Data