Deep Learning Advanced: Video 1 Overview 🎥

Welcome to Deep Learning Advanced! This series dives into cutting-edge techniques and foundational theories of neural networks. In this first episode, we'll explore:

🔍 Key Topics Covered

  • Neural Network Architecture 🧠
    Understanding layers, activation functions, and optimization algorithms

    Neural Network Structure

  • Backpropagation in Detail 🔄
    How gradients flow through networks and the role of loss functions

    Backpropagation Diagram

  • Advanced Training Strategies 🚀
    Techniques like learning rate scheduling and weight initialization

    GPU Training Process

📘 Recommended Reading

For deeper insights, check out:
Explore Neural Network Mathematics
Understand Optimization Algorithms

Stay tuned for Video 2 where we'll tackle convolutional neural networks (CNNs)! 🔧

CNN Architecture