Скачать или смотреть Class 1 : What is Deep Learning? | Neural Network Basics + Math + PyTorch

Welcome to the first episode of our Deep Learning series! In this video, we take our first steps into the world of Deep Learning by covering:

✅ What is Deep Learning?
✅ Difference between Machine Learning and Deep Learning
✅ When and why to use Deep Learning
✅ Neural Networks 101: Nodes, Weights, Layers
✅ Intuition + Mathematics of Forward Propagation
✅ Simple vectorized form of a neural layer
✅ Visual and handwritten breakdowns
✅ Foundation for upcoming topics like loss functions, optimizers, backpropagation

🔢 We also derive the Z = XW + b form with clear matrix intuition and connect this to the real-world implementation using PyTorch in upcoming videos.

Whether you're a beginner or looking to revise your basics with clean math and visual examples, this is the perfect starting point.

🧠 Our goal is to bridge the gap between math and code, helping you truly understand what’s happening under the hood