| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/001. About this course.mp4 |
12.6 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/001. About this course.srt |
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| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/002. Welcome video.mp4 |
20.1 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/002. Welcome video.srt |
7 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/003. Main approaches in NLP.mp4 |
30 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/003. Main approaches in NLP.srt |
10 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/004. Brief overview of the next weeks.mp4 |
26.2 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/004. Brief overview of the next weeks.srt |
10 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/005. [Optional] Linguistic knowledge in NLP.mp4 |
35 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/001.Introduction to NLP and our course/005. [Optional] Linguistic knowledge in NLP.srt |
13 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/002.How to from plain texts to their classification/006. Text preprocessing.mp4 |
51.3 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/002.How to from plain texts to their classification/006. Text preprocessing.srt |
20 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/002.How to from plain texts to their classification/007. Feature extraction from text.mp4 |
48.3 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/002.How to from plain texts to their classification/007. Feature extraction from text.srt |
18 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/002.How to from plain texts to their classification/008. Linear models for sentiment analysis.mp4 |
36.1 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/002.How to from plain texts to their classification/008. Linear models for sentiment analysis.srt |
13 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/002.How to from plain texts to their classification/009. Hashing trick in spam filtering.mp4 |
61.2 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/002.How to from plain texts to their classification/009. Hashing trick in spam filtering.srt |
23 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/003.Simple deep learning for text classification/010. Neural networks for words.mp4 |
50.7 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/003.Simple deep learning for text classification/010. Neural networks for words.srt |
19 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/003.Simple deep learning for text classification/011. Neural networks for characters.mp4 |
27.9 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/003.Simple deep learning for text classification/011. Neural networks for characters.srt |
10 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/004.Language modeling it's all about counting!/012. Count! N-gram language models.mp4 |
33.9 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/004.Language modeling it's all about counting!/012. Count! N-gram language models.srt |
14 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/004.Language modeling it's all about counting!/013. Perplexity is our model surprised with a real text.mp4 |
26.8 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/004.Language modeling it's all about counting!/013. Perplexity is our model surprised with a real text.srt |
10 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/004.Language modeling it's all about counting!/014. Smoothing what if we see new n-grams.mp4 |
27.3 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/004.Language modeling it's all about counting!/014. Smoothing what if we see new n-grams.srt |
9 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/005.Sequence tagging with probabilistic models/015. Hidden Markov Models.mp4 |
49.4 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/005.Sequence tagging with probabilistic models/015. Hidden Markov Models.srt |
17 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/005.Sequence tagging with probabilistic models/016. Viterbi algorithm what are the most probable tags.mp4 |
39.3 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/005.Sequence tagging with probabilistic models/016. Viterbi algorithm what are the most probable tags.srt |
13 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/005.Sequence tagging with probabilistic models/017. MEMMs, CRFs and other sequential models for Named Entity Recognition.mp4 |
41.7 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/005.Sequence tagging with probabilistic models/017. MEMMs, CRFs and other sequential models for Named Entity Recognition.srt |
14 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/006.Deep Learning for the same tasks/018. Neural Language Models.mp4 |
31.5 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/006.Deep Learning for the same tasks/018. Neural Language Models.srt |
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| [CourseClub.NET] Coursera - Natural Language Processing/006.Deep Learning for the same tasks/019. Whether you need to predict a next word or a label - LSTM is here to help!.mp4 |
42.9 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/006.Deep Learning for the same tasks/019. Whether you need to predict a next word or a label - LSTM is here to help!.srt |
15 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/020. Distributional semantics bee and honey vs. bee an bumblebee.mp4 |
28.3 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/020. Distributional semantics bee and honey vs. bee an bumblebee.srt |
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| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/021. Explicit and implicit matrix factorization.mp4 |
45.8 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/021. Explicit and implicit matrix factorization.srt |
15 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/022. Word2vec and doc2vec (and how to evaluate them).mp4 |
39.4 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/022. Word2vec and doc2vec (and how to evaluate them).srt |
13 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/023. Word analogies without magic king man + woman != queen.mp4 |
40.1 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/023. Word analogies without magic king man + woman != queen.srt |
13 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/024. Why words From character to sentence embeddings.mp4 |
42.8 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/007.Word and sentence embeddings/024. Why words From character to sentence embeddings.srt |
15 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/008.Topic models/025. Topic modeling a way to navigate through text collections.mp4 |
26 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/008.Topic models/025. Topic modeling a way to navigate through text collections.srt |
9 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/008.Topic models/026. How to train PLSA.mp4 |
23.5 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/008.Topic models/026. How to train PLSA.srt |
9 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/008.Topic models/027. The zoo of topic models.mp4 |
51.3 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/008.Topic models/027. The zoo of topic models.srt |
17 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/009.Statistical Machine Translation/028. Introduction to Machine Translation.mp4 |
57.1 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/009.Statistical Machine Translation/028. Introduction to Machine Translation.srt |
19 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/009.Statistical Machine Translation/029. Noisy channel said in English, received in French.mp4 |
21.7 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/009.Statistical Machine Translation/029. Noisy channel said in English, received in French.srt |
8 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/009.Statistical Machine Translation/030. Word Alignment Models.mp4 |
43.1 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/009.Statistical Machine Translation/030. Word Alignment Models.srt |
15 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/010.Encoder-decoder-attention arhitecture/031. Encoder-decoder architecture.mp4 |
22.4 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/010.Encoder-decoder-attention arhitecture/031. Encoder-decoder architecture.srt |
8 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/010.Encoder-decoder-attention arhitecture/032. Attention mechanism.mp4 |
31.2 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/010.Encoder-decoder-attention arhitecture/032. Attention mechanism.srt |
12 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/010.Encoder-decoder-attention arhitecture/033. How to deal with a vocabulary.mp4 |
40.1 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/010.Encoder-decoder-attention arhitecture/033. How to deal with a vocabulary.srt |
15 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/010.Encoder-decoder-attention arhitecture/034. How to implement a conversational chat-bot.mp4 |
38.2 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/010.Encoder-decoder-attention arhitecture/034. How to implement a conversational chat-bot.srt |
14 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/011.Summarization and simplification tasks/035. Sequence to sequence learning one-size fits all.mp4 |
36.7 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/011.Summarization and simplification tasks/035. Sequence to sequence learning one-size fits all.srt |
13 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/011.Summarization and simplification tasks/036. Get to the point! Summarization with pointer-generator networks.mp4 |
41 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/011.Summarization and simplification tasks/036. Get to the point! Summarization with pointer-generator networks.srt |
15 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/012.Natural Language Understanding (NLU)/037. Task-oriented dialog systems.mp4 |
42.3 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/012.Natural Language Understanding (NLU)/037. Task-oriented dialog systems.srt |
17 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/012.Natural Language Understanding (NLU)/038. Intent classifier and slot tagger (NLU).mp4 |
48 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/012.Natural Language Understanding (NLU)/038. Intent classifier and slot tagger (NLU).srt |
18 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/012.Natural Language Understanding (NLU)/039. Adding context to NLU.mp4 |
17.1 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/012.Natural Language Understanding (NLU)/039. Adding context to NLU.srt |
7 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/012.Natural Language Understanding (NLU)/040. Adding lexicon to NLU.mp4 |
28.4 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/012.Natural Language Understanding (NLU)/040. Adding lexicon to NLU.srt |
10 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/013.Dialog Manager (DM)/041. State tracking in DM.mp4 |
44.9 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/013.Dialog Manager (DM)/041. State tracking in DM.srt |
17 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/013.Dialog Manager (DM)/042. Policy optimisation in DM.mp4 |
27.1 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/013.Dialog Manager (DM)/042. Policy optimisation in DM.srt |
10 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/013.Dialog Manager (DM)/043. Final remarks.mp4 |
21.6 MB |
| [CourseClub.NET] Coursera - Natural Language Processing/013.Dialog Manager (DM)/043. Final remarks.srt |
7 KB |
| [CourseClub.NET] Coursera - Natural Language Processing/[CourseClub.NET].url |
123 B |
| [CourseClub.NET] Coursera - Natural Language Processing/[FCS Forum].url |
133 B |
| [CourseClub.NET] Coursera - Natural Language Processing/[FreeCourseSite.com].url |
127 B |
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