Introduction To Neural Networks (Lecture 1) скачать в хорошем качестве

Introduction To Neural Networks (Lecture 1)

Welcome to the first lecture of my Deep Learning series! 🚀 In this video, we kick off our journey into the world of Artificial Intelligence. While there are many resources for Web Dev and DSA, there is a massive gap in advanced AI content (LLMs, RAG, CUDA, AI Agents) for the Indian community. My goal is to change that and democratize AI education. We start by breaking down what AI actually is, moving past the hype to understand the mathematical core. We discuss why Deep Learning is just "correlation and compression," and how Neural Networks are inspired by the human brain—but work very differently (think Submarines vs. Fish!). In this video, we cover: ✅ Why I started this channel & the state of AI in India vs USA/China. ✅ Prerequisites for this course (Maths & Python). ✅ What is Artificial Intelligence? (Francois Chollet’s definition). ✅ Understanding Neural Networks: Input, Hidden Layers, and Output. ✅ The "Inspiration vs. Imitation" analogy (Plane vs. Bird). ✅ Future Roadmap: Building a GPT from scratch! Resources: 🔗 GitHub Repository (Lecture Notes): https://github.com/gautamgoel962/Yout... 🔗 Follow me on Instagram:   / gautamgoel978   Prerequisites: Basic Python Programming High School Math (Matrices, Calculus basics) Patience & Curiosity! Subscribe to join the journey of building LLMs from scratch. Let's learn together! 🧠💻 #DeepLearning #AI #NeuralNetworks #MachineLearning #Python #Hindi #GenerativeAI #GPT #ArtificialIntelligence