| 2.1-a-first-look-at-a-neural-network.ipynb | 13.9 KB | |
| 3.5-classifying-movie-reviews.ipynb | 69.5 KB | |
| 3.6-classifying-newswires.ipynb | 63.7 KB | |
| 3.7-predicting-house-prices.ipynb | 70.2 KB | |
| 4.4-overfitting-and-underfitting.ipynb | 106.1 KB | |
| 5.1-introduction-to-convnets.ipynb | 11.1 KB | |
| 5.2-using-convnets-with-small-datasets.ipynb | 431.1 KB | |
| 5.3-using-a-pretrained-convnet.ipynb | 233.1 KB | |
| 5.4-visualizing-what-convnets-learn.ipynb | 7 MB | |
| 6.1-one-hot-encoding-of-words-or-characters.ipynb | 8.7 KB | |
| 6.1-using-word-embeddings.ipynb | 94.3 KB | |
| 6.2-understanding-recurrent-neural-networks.ipynb | 84.6 KB | |
| 6.3-advanced-usage-of-recurrent-neural-networks.ipynb | 204.2 KB | |
| 6.4-sequence-processing-with-convnets.ipynb | 94.4 KB | |
| 8.1-text-generation-with-lstm.ipynb | 160.5 KB | |
| 8.2-deep-dream.ipynb | 201.1 KB | |
| 8.3-neural-style-transfer.ipynb | 415 KB | |
| 8.4-generating-images-with-vaes.ipynb | 283.8 KB | |
| 8.5-introduction-to-gans.ipynb | 147.6 KB | |
