Deep Learning for Search, Video Edition

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.4 GB
  • Uploaded Byfreecoursewb
  • Downloads36
  • Last checkedOct. 24th '25
  • Date uploadedOct. 24th '25
  • Seeders 1
  • Leechers27

Infohash : 473C1A3155F5358A969B38105B3E09BDD15D11B2

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!

Files:

[ WebToolTip.com ] Deep Learning for Search, Video Edition
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here !
    • 001. Part 1. Search meets deep learning.en.srt (0.9 KB)
    • 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 (11.0 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 (8.0 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 (8.0 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 (7.0 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 (26.0 MB)
    • 033. Chapter 4. Content-based suggesters.en.srt (4.7 KB)
    • 033. Chapter 4. Content-based suggesters.mp4 (9.0 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 (22.0 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 (1.0 KB)
    • 038. Chapter 4. Summary.mp4 (3.0 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 (53.0 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 (22.0 MB)
    • 044. Chapter 5. Summary.en.srt (0.7 KB)
    • 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 (0.9 KB)
    • 048. Chapter 6. Summary.mp4 (2.3 MB)
    • 049. Part 3. One step beyond.en.srt (1.6 KB)

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