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deep-learning-with-python-notebooks

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Jupyter Notebook

Project Description

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Project Title

deep-learning-with-python-notebooks — Jupyter Notebooks for Deep Learning with Python Book Code Samples

Overview

The deep-learning-with-python-notebooks project provides Jupyter notebooks containing the code samples from the book "Deep Learning with Python" by Francois Chollet and Matthew Watson. This resource is designed to help readers understand and practice deep learning concepts hands-on, with the ability to run the code in various environments, including Colab.

Key Features

  • Implementation of code samples from the "Deep Learning with Python" book
  • Supports running on Colab with GPU support
  • Allows for different backends (JAX, TensorFlow, PyTorch) using Keras 3
  • Integration with Kaggle for accessing datasets and model weights

Use Cases

  • Educators and students using the book for learning deep learning concepts
  • Researchers and data scientists prototyping deep learning models
  • Developers looking for practical examples to apply in their projects

Advantages

  • Easy to follow runnable code blocks alongside the book's content
  • Flexibility to choose between different deep learning frameworks
  • Access to Kaggle datasets and model weights for practical applications

Limitations / Considerations

  • Requires a copy of the book for full understanding of the notebooks' context
  • Some chapters may require a faster GPU for optimal performance, which might not be available on Colab's free tier
  • Users need to set up their own environment or use Colab for running the notebooks

Similar / Related Projects

  • TensorFlow tutorials: Offers a variety of deep learning tutorials and guides, but not specifically tied to a book.
  • PyTorch tutorials: Similar to TensorFlow, provides a set of tutorials for deep learning, but not book-specific.
  • Fast.ai: Provides a practical deep learning course with a focus on coding and applications, with its own set of Jupyter notebooks.

Basic Information


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Project Information

Created on 9/5/2017
Updated on 9/21/2025