Gradient Descent Explained Simply with Python | AI Explained #5

Gradient Descent Explained Simply with Python – episode 5 of AI Concepts Explained, a free beginner-friendly artificial intelligence and machine learning course by Irfan Hayat. Gradient descent is how almost every AI model learns. Irfan Hayat explains loss landscapes, slopes, learning rates and backpropagation with animated charts, then codes gradient descent from scratch in Python. What you'll learn • The loss landscape as a hilly valley • What a gradient (slope) tells us • The learning rate and why it matters • Gradient descent coded from scratch • Backpropagation and mini-batches in plain English Chapters 00:00 Intro 00:59 The loss landscape 01:59 Gradients and the learning rate 03:10 Gradient descent in Python 04:24 Backpropagation 05:37 Mini-batches and local minima 06:43 Recap 07:40 Next: Overfitting & bias Altered or synthetic content: The presenter visuals and narration in this video are AI-generated/AI-assisted from the instructor's own photo and an original teaching script. All diagrams, code, and explanations are original. Family-friendly educational content. No music, third-party footage, or logos are used. #MachineLearning #DeepLearning #ArtificialIntelligence