Deep Learning for Search, Video Edition

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

Description


Deep Learning for Search, Video Edition

https://WebToolTip.com

Released 6/2019
By Tommaso Teofili
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 8h 38m | Size: 1.41 GB

Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time you're finished with the book, you'll be ready to build amazing search engines that deliver the results your users need and that get better as time goes on!

About the Technology
Deep learning handles the toughest search challenges, including imprecise search terms, badly indexed data, and retrieving images with minimal metadata. And with modern tools like DL4J and TensorFlow, you can apply powerful DL techniques without a deep background in data science or natural language processing (NLP). This book will show you how.

About the Book
Deep Learning for Search teaches you to improve your search results with neural networks. You’ll review how DL relates to search basics like indexing and ranking. Then, you’ll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you’ll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn!

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