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Title: GitHub - johnson2009/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Open Graph Title: GitHub - johnson2009/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"

X Title: GitHub - johnson2009/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Description: Jupyter notebooks for the code samples of the book "Deep Learning with Python" - johnson2009/deep-learning-with-python-notebooks

Open Graph Description: Jupyter notebooks for the code samples of the book "Deep Learning with Python" - johnson2009/deep-learning-with-python-notebooks

X Description: Jupyter notebooks for the code samples of the book "Deep Learning with Python" - johnson2009/deep-learning-with-python-notebooks

Opengraph URL: https://github.com/johnson2009/deep-learning-with-python-notebooks

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chapter08_image-classification.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter08_image-classification.ipynb
chapter08_image-classification.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter08_image-classification.ipynb
chapter09_convnet-architecture-patterns.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter09_convnet-architecture-patterns.ipynb
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chapter11_image-segmentation.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter11_image-segmentation.ipynb
chapter11_image-segmentation.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter11_image-segmentation.ipynb
chapter12_object-detection.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter12_object-detection.ipynb
chapter12_object-detection.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter12_object-detection.ipynb
chapter13_timeseries-forecasting.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter13_timeseries-forecasting.ipynb
chapter13_timeseries-forecasting.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter13_timeseries-forecasting.ipynb
chapter14_text-classification.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter14_text-classification.ipynb
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chapter17_image-generation.ipynbhttps://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks/blob/master/chapter17_image-generation.ipynb
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Deep Learning with Python, third edition (2025)https://www.manning.com/books/deep-learning-with-python-third-edition?a_aid=keras&a_bid=76564dff
second edition (2021)https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras&a_bid=76564dff
first edition (2017)https://www.manning.com/books/deep-learning-with-python?a_aid=keras&a_bid=76564dff
https://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks#running-the-code
Colabhttps://colab.google
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https://patch-diff.githubusercontent.com/johnson2009/deep-learning-with-python-notebooks#table-of-contents
Chapter 2: The mathematical building blocks of neural networkshttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter02_mathematical-building-blocks.ipynb
Chapter 3: Introduction to TensorFlow, PyTorch, JAX, and Kerashttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter03_introduction-to-ml-frameworks.ipynb
Chapter 4: Classification and regressionhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter04_classification-and-regression.ipynb
Chapter 5: Fundamentals of machine learninghttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter05_fundamentals-of-ml.ipynb
Chapter 7: A deep dive on Kerashttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter07_deep-dive-keras.ipynb
Chapter 8: Image Classificationhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter08_image-classification.ipynb
Chapter 9: Convnet architecture patternshttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter09_convnet-architecture-patterns.ipynb
Chapter 10: Interpreting what ConvNets learnhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter10_interpreting-what-convnets-learn.ipynb
Chapter 11: Image Segmentationhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter11_image-segmentation.ipynb
Chapter 12: Object Detectionhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter12_object-detection.ipynb
Chapter 13: Timeseries Forecastinghttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter13_timeseries-forecasting.ipynb
Chapter 14: Text Classificationhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter14_text-classification.ipynb
Chapter 15: Language Models and the Transformerhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter15_language-models-and-the-transformer.ipynb
Chapter 16: Text Generationhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter16_text-generation.ipynb
Chapter 17: Image Generationhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter17_image-generation.ipynb
Chapter 18: Best practices for the real worldhttps://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter18_best-practices-for-the-real-world.ipynb
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