fchollet/deep-learning-with-python-notebooks

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

20018 0 0 Jupyter Notebook

3 branches

	first_edition
	second_edition
	chapter02_mathematical-building-blocks.ipynb		29.3 KB
	chapter03_introduction-to-ml-frameworks.ipynb		35.4 KB
	chapter04_classification-and-regression.ipynb		27.7 KB
	chapter05_fundamentals-of-ml.ipynb		23.2 KB
	chapter07_deep-dive-keras.ipynb		47.0 KB
	chapter08_image-classification.ipynb		25.6 KB
	chapter09_convnet-architecture-patterns.ipynb		10.2 KB
	chapter10_interpreting-what-convnets-learn.ipynb		20.8 KB
	chapter11_image-segmentation.ipynb		17.5 KB
	chapter12_object-detection.ipynb		19.1 KB
	chapter13_timeseries-forecasting.ipynb		18.0 KB
	chapter14_text-classification.ipynb		34.9 KB
	chapter15_language-models-and-the-transformer.ipynb		31.5 KB
	chapter16_text-generation.ipynb		28.4 KB
	chapter17_image-generation.ipynb		25.7 KB
	chapter18_best-practices-for-the-real-world.ipynb		13.2 KB
	LICENSE		1.1 KB
	README.md		6.0 KB