Deep Learning Advanced - Assignments 🧠

Welcome to the Assignments section of the Deep Learning Advanced course! Here, you'll find a list of practical tasks designed to reinforce your understanding of advanced concepts. 🚀

🔹 Assignment Overview

1. Neural Network Optimization

   • Implement gradient descent with momentum and Adam optimizer.
   • Learn more about optimization techniques
   

2. Advanced CNN Architectures

   • Build a custom CNN model for image classification.
   • Explore CNN design principles
   

3. Recurrent Networks & NLP

   • Apply RNNs to sequence prediction tasks.
   • Dive into NLP applications
   

4. Generative Models

   • Train a GAN to generate synthetic images.
   • Understand generative models
   

📌 Submission Guidelines

• Submit all assignments via the Course Dashboard.
• Use 📄 Markdown format for code and explanations.

Let me know if you need help with any of these tasks! 💬