Welcome to the Advanced Deep Learning video collection! Dive deeper into complex topics like neural architecture search, GANs, and transformer models.

🔍 Key Topics Covered

  • Neural Network Optimization 🚀

    • Gradient descent variants (SGD, Adam)
    • Learning rate scheduling 📉
    • Weight initialization techniques 🧠

  • State-of-the-Art Models 🌍

    • Transformer architecture 🔄
    • Vision Transformers (ViT) 👁️
    • Diffusion Models for generative tasks 🎨

  • Practical Applications 🧑‍💻

    • NLP: BERT, T5, and beyond 📖
    • Computer Vision: YOLO, Segmentation Networks 📷
    • Reinforcement Learning: Deep Q-Networks 🕹️

📚 Recommended Reading

For a deeper dive into the concepts presented in these videos:

  1. Deep Learning Fundamentals
  2. Optimization Techniques in Practice
  3. Transformer Model Implementation Guide

📽️ Watch Now

Watch the latest advanced deep learning video → Neural Architecture Search Explained
Explore more tutorials for hands-on coding sessions!

Neural Network Structure
Transformer Model Diagram

Let me know if you'd like to dive into specific subtopics! 💬