Welcome to my Deep Learning Specialization repository! This is where I store and showcase the assignments I have completed as part of the deep learning course.

This repository is organized by course, with each course having its dedicated folder. Inside each course folder, you will find the assignments along with any additional resources or notes that I have compiled during my learning journey.

• Week 1: Introduction to deep learning
• Week 2: Neural Networks Basics
• Week 3: Shallow neural networks
• Week 4: Deep Neural Networks

• Week 1: Practical aspects of Deep Learning
• Week 2: Optimization algorithms
• Week 3: Hyperparameter tuning, Batch Normalization, and Programming Frameworks

• Week 1: ML Strategy (1)
• Week 2: ML Strategy (2)

• Week 1: Foundations of Convolutional Neural Networks (CNN)
• Week 2: Deep convolutional models: case studies
• Week 3: Object detection
• Week 4: Special applications: Face recognition & Neural style transfer

• Week 1: Recurrent Neural Networks (RNN)
• Week 2: Natural Language Processing & Word Embeddings
• Week 3: Sequence models & Attention mechanism
• Week 4: Transformer Network

Feel free to explore the content of each course folder. You can find the assignments, code, and additional resources within each corresponding week's folder.

If you have any suggestions, corrections, or improvements, please feel free to open an issue or submit a pull request. Your contributions are highly appreciated!

I want to express my gratitude to the instructors, course creators, and everyone involved in the Deep Learning Specialization. Your efforts have played a crucial role in enhancing my understanding of deep learning concepts.

Happy Learning! 🚀