Deep Learning with Python — Practice Repository

This repository contains summaries, assignments, and projects while studying the book:

Deep Learning with Python
by François Chollet

The purpose of this repository is to document the concepts, implementations, and exercises covered in each lesson throughout the learning process.

📑 Contents

• Homework assignments
• Practice exercises

🛠️ Tools & Technologies

• Python
• TensorFlow / Keras
• NumPy
• Pandas
• Matplotlib
• Scikit-learn
• Jupyter Notebooks

🚀 Implemented Topics & Projects

Implemented notebooks and exercises so far:

• IMDB Sentiment Analysis
• Binary Classification with Neural Networks
• Regression Models
• Overfitting & Regularization
• Model Evaluation & Validation

📌 Notes

• 👨‍🎓 Most notebooks are based on exercises and examples from the book.
• 🎯This repository is for educational purposes.
• 📂 Contributions and improvements are welcome!