| README.md | 4.5 KB | |
| chapter02_mathematical-building-blocks.ipynb | 30 KB | |
| chapter03_introduction-to-keras-and-tf.ipynb | 20.4 KB | |
| chapter04_getting-started-with-neural-networks.ipynb | 29.5 KB | |
| chapter05_fundamentals-of-ml.ipynb | 18.6 KB | |
| chapter07_working-with-keras.ipynb | 36.6 KB | |
| chapter08_intro-to-dl-for-computer-vision.ipynb | 29.3 KB | |
| chapter09_part01_image-segmentation.ipynb | 8.5 KB | |
| chapter09_part02_modern-convnet-architecture-patterns.ipynb | 8.9 KB | |
| chapter09_part03_interpreting-what-convnets-learn.ipynb | 19.1 KB | |
| chapter10_dl-for-timeseries.ipynb | 20.9 KB | |
| chapter11_part01_introduction.ipynb | 18.7 KB | |
| chapter11_part02_sequence-models.ipynb | 12.8 KB | |
| chapter11_part03_transformer.ipynb | 12.4 KB | |
| chapter11_part04_sequence-to-sequence-learning.ipynb | 18.9 KB | |
| chapter12_part01_text-generation.ipynb | 14.3 KB | |
| chapter12_part02_deep-dream.ipynb | 7.9 KB | |
| chapter12_part03_neural-style-transfer.ipynb | 9.6 KB | |
| chapter12_part04_variational-autoencoders.ipynb | 9.5 KB | |
| chapter12_part05_gans.ipynb | 11.5 KB | |
| chapter13_best-practices-for-the-real-world.ipynb | 10.5 KB | |
| chapter14_conclusions.ipynb | 13.1 KB | |
