This repository contains my implementations and notes from the book
Deep Learning with Python (1st Edition) by François Chollet.
The material is split into 4 notebooks, following the book’s structure.
They include examples, experiments, and my personal comments while working through the chapters.
- Part 1: Introduction to deep learning concepts
- Part 2: Fundamentals of neural networks and Keras
- Part 3: Computer vision and sequence models
- Part 4: Advanced deep learning topics
The original dl_with_python_1st_edition_book.pdf is also included in this repo for reference.
- Python, Jupyter Notebook
- Keras, TensorFlow
- NumPy, Matplotlib
This repo is mainly for learning and reference.
Feel free to browse, adapt, and experiment with the notebooks.