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WillKoehrsen's
repositories
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.ipynb_checkpoints
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data
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generated
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style_transfer
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venv3
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03.1 Using pre trained word embeddings.ipynb
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03.2 Domain specific ranking using word2vec cosine distance.ipynb
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04.1 Collect movie data from Wikipedia.ipynb
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04.2 Build a recommender system based on outgoing Wikipedia links.ipynb
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05.1 Generating Text in the Style of an Example Text.ipynb
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06.1 Question matching.ipynb
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07.1 Text Classification.ipynb
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07.2 Emoji Suggestions.ipynb
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07.3 Tweet Embeddings.ipynb
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08.1 Sequence to sequence mapping.ipynb
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08.2 Import Gutenberg.ipynb
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08.3 Subword tokenizing.ipynb
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09.1 Reusing a pretrained image recognition network.ipynb
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09.2 Images as embeddings.ipynb
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09.3 Retraining.ipynb
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10.1 Building an inverse image search service.ipynb
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11.1 Detecting Multiple Images.ipynb
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12.1 Activation Optimization.ipynb
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12.2 Neural Style.ipynb
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13.1 Quick Draw Cat Autoencoder.ipynb
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13.2 Variational Autoencoder.ipynb
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13.5 Quick Draw Autoencoder.ipynb
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14.1 Importing icons.ipynb
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14.2 Icon Autoencoding.ipynb
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14.2 Variational Autoencoder Icons.ipynb
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14.3 Icon GAN.ipynb
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14.4 Icon RNN.ipynb
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15.1 Song Classification.ipynb
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15.2 Index Local MP3s.ipynb
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15.3 Spotify Playlists.ipynb
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15.4 Train a music recommender.ipynb
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16.1 Productionize Embeddings.ipynb
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16.2 Prepare Keras model for Tensorflow Serving.ipynb
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16.3 Prepare model for iOS.ipynb
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16.4 Simple Text Generation.ipynb
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Book Recommendation-Copy1.ipynb
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Book Recommendation.ipynb
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Building Book Recommendation Model.ipynb
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Exploring Book Data.ipynb
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File Split.ipynb
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Multithreading.ipynb
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Simple Seq2Seq.ipynb
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Untitled.ipynb
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.gitignore
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LICENSE
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deeplearningcookbook.pdf
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export_keras_to_tensor_flow_serving.py
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keras_server.py
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nb_utils.py
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requirements.in
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requirements.txt
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seq2seq_server.py
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simple_server.py
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