| LICENSE | 1 KB | |
| README.md | 6 KB | |
| chapter02_mathematical-building-blocks.ipynb | 30 KB | |
| chapter03_introduction-to-ml-frameworks.ipynb | 36.2 KB | |
| chapter04_classification-and-regression.ipynb | 28.3 KB | |
| chapter05_fundamentals-of-ml.ipynb | 23.7 KB | |
| chapter07_deep-dive-keras.ipynb | 48.1 KB | |
| chapter08_image-classification.ipynb | 26.2 KB | |
| chapter09_convnet-architecture-patterns.ipynb | 10.4 KB | |
| chapter10_interpreting-what-convnets-learn.ipynb | 21.3 KB | |
| chapter11_image-segmentation.ipynb | 17.8 KB | |
| chapter12_object-detection.ipynb | 19.7 KB | |
| chapter13_timeseries-forecasting.ipynb | 18.4 KB | |
| chapter14_text-classification.ipynb | 35.7 KB | |
| chapter15_language-models-and-the-transformer.ipynb | 32.3 KB | |
| chapter16_text-generation.ipynb | 28.6 KB | |
| chapter17_image-generation.ipynb | 26.3 KB | |
| chapter18_best-practices-for-the-real-world.ipynb | 13.5 KB | |
| first_edition/ | - | |
| second_edition/ | - | |
