How AI Models Learn Accurate Answers | Gradient Descent Explained | Let's Decode Together

How do AI models learn to generate accurate answers? In this lesson from the AI Engineering Curriculum, we go deep into Gradient Descent — the optimisation algorithm that powers modern machine learning and deep learning systems. You’ll learn how neural networks update parameters, minimise loss functions, and improve predictions through iterative learning. Topics Covered: - Gradient Descent Explained - Loss Functions and Optimisation - Learning Rate Explained - Batch vs SGD vs Mini-Batch - Adam Optimizer Explained - Vanishing and Exploding Gradients - How Neural Networks Learn This lesson is part of the free AI Engineering Curriculum for developers. #GradientDescent #MachineLearning #DeepLearning #AI #AIEngineering