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001. Part 1. Search meets deep learning.en.srt
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921.6 B
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001. Part 1. Search meets deep learning.mp4
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2.1 MB
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002. Chapter 1. Neural search.en.srt
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10.2 KB
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002. Chapter 1. Neural search.mp4
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19.4 MB
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003. Chapter 1. What is machine learning.en.srt
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8.6 KB
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003. Chapter 1. What is machine learning.mp4
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18.9 MB
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004. Chapter 1. What deep learning can do for search.en.srt
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12.2 KB
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004. Chapter 1. What deep learning can do for search.mp4
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24.7 MB
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005. Chapter 1. A roadmap for learning deep learning.en.srt
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5.8 KB
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005. Chapter 1. A roadmap for learning deep learning.mp4
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13.9 MB
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006. Chapter 1. Retrieving useful information.en.srt
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37.3 KB
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006. Chapter 1. Retrieving useful information.mp4
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78.6 MB
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007. Chapter 1. Unsolved problems.en.srt
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5.4 KB
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007. Chapter 1. Unsolved problems.mp4
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9.5 MB
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008. Chapter 1. Opening the search engine black box.en.srt
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5.4 KB
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008. Chapter 1. Opening the search engine black box.mp4
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MP4
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11.2 MB
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009. Chapter 1. Deep learning to the rescue.en.srt
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11 KB
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009. Chapter 1. Deep learning to the rescue.mp4
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MP4
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17.9 MB
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010. Chapter 1. Index, please meet neuron.en.srt
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3.3 KB
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010. Chapter 1. Index, please meet neuron.mp4
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8 MB
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011. Chapter 1. Neural network training.en.srt
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8.5 KB
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011. Chapter 1. Neural network training.mp4
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19.8 MB
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012. Chapter 1. The promises of neural search.en.srt
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2.5 KB
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012. Chapter 1. The promises of neural search.mp4
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6.1 MB
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013. Chapter 1. Summary.en.srt
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1.7 KB
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013. Chapter 1. Summary.mp4
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5.2 MB
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014. Chapter 2. Generating synonyms.en.srt
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36.1 KB
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014. Chapter 2. Generating synonyms.mp4
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MP4
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69.7 MB
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015. Chapter 2. The importance of context.en.srt
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8 KB
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015. Chapter 2. The importance of context.mp4
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14.8 MB
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016. Chapter 2. Feed-forward neural networks.en.srt
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11.5 KB
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016. Chapter 2. Feed-forward neural networks.mp4
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21.6 MB
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017. Chapter 2. Using word2vec.en.srt
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27.4 KB
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017. Chapter 2. Using word2vec.mp4
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50.6 MB
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018. Chapter 2. Evaluations and comparisons.en.srt
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2.9 KB
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018. Chapter 2. Evaluations and comparisons.mp4
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6.9 MB
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019. Chapter 2. Considerations for production systems.en.srt
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7.1 KB
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019. Chapter 2. Considerations for production systems.mp4
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14.6 MB
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020. Chapter 2. Summary.en.srt
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1.9 KB
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020. Chapter 2. Summary.mp4
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5.7 MB
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021. Part 2. Throwing neural nets at a search engine.en.srt
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1.2 KB
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021. Part 2. Throwing neural nets at a search engine.mp4
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2.6 MB
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022. Chapter 3. From plain retrieval to text generation.en.srt
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45.9 KB
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022. Chapter 3. From plain retrieval to text generation.mp4
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MP4
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75.4 MB
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023. Chapter 3. Learning over sequences.en.srt
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5.2 KB
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023. Chapter 3. Learning over sequences.mp4
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11.4 MB
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024. Chapter 3. Recurrent neural networks.en.srt
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21.3 KB
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024. Chapter 3. Recurrent neural networks.mp4
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46.1 MB
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025. Chapter 3. LSTM networks for unsupervised text generation.en.srt
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23.8 KB
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025. Chapter 3. LSTM networks for unsupervised text generation.mp4
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MP4
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49.4 MB
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026. Chapter 3. From unsupervised to supervised text generation.en.srt
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6.7 KB
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026. Chapter 3. From unsupervised to supervised text generation.mp4
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MP4
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14.7 MB
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027. Chapter 3. Considerations for production systems.en.srt
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4.7 KB
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027. Chapter 3. Considerations for production systems.mp4
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MP4
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10.1 MB
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028. Chapter 3. Summary.en.srt
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1.4 KB
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028. Chapter 3. Summary.mp4
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4.6 MB
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029. Chapter 4. More-sensitive query suggestions.en.srt
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11.7 KB
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029. Chapter 4. More-sensitive query suggestions.mp4
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25.5 MB
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030. Chapter 4. Lucene Lookup APIs.en.srt
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7 KB
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030. Chapter 4. Lucene Lookup APIs.mp4
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13.1 MB
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031. Chapter 4. Analyzed suggesters.en.srt
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12.8 KB
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031. Chapter 4. Analyzed suggesters.mp4
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19.7 MB
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032. Chapter 4. Using language models.en.srt
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10.8 KB
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032. Chapter 4. Using language models.mp4
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26 MB
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033. Chapter 4. Content-based suggesters.en.srt
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4.7 KB
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033. Chapter 4. Content-based suggesters.mp4
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9 MB
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034. Chapter 4. Neural language models.en.srt
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4.3 KB
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034. Chapter 4. Neural language models.mp4
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6.8 MB
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035. Chapter 4. Character-based neural language model for suggestions.en.srt
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5.7 KB
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035. Chapter 4. Character-based neural language model for suggestions.mp4
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11.4 MB
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036. Chapter 4. Tuning the LSTM language model.en.srt
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12.8 KB
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036. Chapter 4. Tuning the LSTM language model.mp4
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22 MB
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037. Chapter 4. Diversifying suggestions using word embeddings.en.srt
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3.5 KB
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037. Chapter 4. Diversifying suggestions using word embeddings.mp4
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9.1 MB
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038. Chapter 4. Summary.en.srt
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1 KB
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038. Chapter 4. Summary.mp4
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3 MB
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039. Chapter 5. Ranking search results with word embeddings.en.srt
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12.5 KB
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039. Chapter 5. Ranking search results with word embeddings.mp4
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MP4
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24.8 MB
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040. Chapter 5. Retrieval models.en.srt
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28.6 KB
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040. Chapter 5. Retrieval models.mp4
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53 MB
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041. Chapter 5. Neural information retrieval.en.srt
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3.1 KB
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041. Chapter 5. Neural information retrieval.mp4
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7.1 MB
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042. Chapter 5. From word to document vectors.en.srt
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7.9 KB
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042. Chapter 5. From word to document vectors.mp4
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13.3 MB
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043. Chapter 5. Evaluations and comparisons.en.srt
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10.6 KB
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043. Chapter 5. Evaluations and comparisons.mp4
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MP4
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22 MB
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044. Chapter 5. Summary.en.srt
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716.8 B
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044. Chapter 5. Summary.mp4
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2.1 MB
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045. Chapter 6. Document embeddings for rankings and recommendations.en.srt
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13.1 KB
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045. Chapter 6. Document embeddings for rankings and recommendations.mp4
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MP4
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27.9 MB
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046. Chapter 6. Using paragraph vectors in ranking.en.srt
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3.3 KB
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046. Chapter 6. Using paragraph vectors in ranking.mp4
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MP4
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6.4 MB
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047. Chapter 6. Document embeddings and related content.en.srt
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35.3 KB
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047. Chapter 6. Document embeddings and related content.mp4
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MP4
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75.8 MB
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048. Chapter 6. Summary.en.srt
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921.6 B
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048. Chapter 6. Summary.mp4
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2.3 MB
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049. Part 3. One step beyond.en.srt
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1.6 KB
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049. Part 3. One step beyond.mp4
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4.5 MB
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050. Chapter 7. Searching across languages.en.srt
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21.1 KB
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050. Chapter 7. Searching across languages.mp4
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41.3 MB
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051. Chapter 7. Statistical machine translation.en.srt
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9.4 KB
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051. Chapter 7. Statistical machine translation.mp4
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15.2 MB
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052. Chapter 7. Working with parallel corpora.en.srt
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3.7 KB
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052. Chapter 7. Working with parallel corpora.mp4
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6.8 MB
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053. Chapter 7. Neural machine translation.en.srt
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26.4 KB
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053. Chapter 7. Neural machine translation.mp4
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MP4
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44.2 MB
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054. Chapter 7. Word and document embeddings for multiple languages.en.srt
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11.1 KB
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054. Chapter 7. Word and document embeddings for multiple languages.mp4
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MP4
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22.1 MB
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055. Chapter 7. Summary.en.srt
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614.4 B
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055. Chapter 7. Summary.mp4
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1.3 MB
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056. Chapter 8. Content-based image search.en.srt
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14.4 KB
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056. Chapter 8. Content-based image search.mp4
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33.1 MB
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057. Chapter 8. A look back - Text-based image retrieval.en.srt
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4.1 KB
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057. Chapter 8. A look back - Text-based image retrieval.mp4
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MP4
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8.2 MB
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058. Chapter 8. Understanding images.en.srt
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30 KB
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058. Chapter 8. Understanding images.mp4
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MP4
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61.9 MB
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059. Chapter 8. Deep learning for image representation.en.srt
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39.5 KB
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059. Chapter 8. Deep learning for image representation.mp4
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76.8 MB
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060. Chapter 8. Working with unlabeled images.en.srt
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7.1 KB
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060. Chapter 8. Working with unlabeled images.mp4
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12.7 MB
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061. Chapter 9. Summary.en.srt
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1 KB
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061. Chapter 9. Summary.mp4
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3.2 MB
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062. Chapter 9. A peek at performance.en.srt
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39.5 KB
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062. Chapter 9. A peek at performance.mp4
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64.5 MB
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063. Chapter 9. Indexes and neurons working together.en.srt
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7.4 KB
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063. Chapter 9. Indexes and neurons working together.mp4
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14.3 MB
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064. Chapter 9. Working with streams of data.en.srt
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11 KB
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064. Chapter 9. Working with streams of data.mp4
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21.8 MB
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065. Chapter 9. Summary.en.srt
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2.2 KB
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065. Chapter 9. Summary.mp4
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MP4
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4.8 MB
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Bonus Resources.txt
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TXT
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102.4 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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