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[FreeCoursesOnline.Me] Coursera - Natural Language Processing
magnet:?xt=urn:btih:0448a60d7dd447b48478a3aba6fc4c076adee970&dn=[FreeCoursesOnline.Me] Coursera - Natural Language Processing
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文件列表详情
0448a60d7dd447b48478a3aba6fc4c076adee970
infohash:
43
文件数量
1.51 GB
文件大小
2020-6-20 10:57
创建日期
2024-12-21 10:42
最后访问
相关分词
FreeCoursesOnline
Me
Coursera
-
Natural
Language
Processing
001.Introduction to NLP and our course/001. About this course.mp4 12.59 MB
001.Introduction to NLP and our course/002. Welcome video.mp4 20.05 MB
001.Introduction to NLP and our course/003. Main approaches in NLP.mp4 30.05 MB
001.Introduction to NLP and our course/004. Brief overview of the next weeks.mp4 26.15 MB
001.Introduction to NLP and our course/005. [Optional] Linguistic knowledge in NLP.mp4 35.03 MB
002.How to from plain texts to their classification/006. Text preprocessing.mp4 51.26 MB
002.How to from plain texts to their classification/007. Feature extraction from text.mp4 48.3 MB
002.How to from plain texts to their classification/008. Linear models for sentiment analysis.mp4 36.13 MB
002.How to from plain texts to their classification/009. Hashing trick in spam filtering.mp4 61.22 MB
003.Simple deep learning for text classification/010. Neural networks for words.mp4 50.67 MB
003.Simple deep learning for text classification/011. Neural networks for characters.mp4 27.92 MB
004.Language modeling it's all about counting!/012. Count! N-gram language models.mp4 33.9 MB
004.Language modeling it's all about counting!/013. Perplexity is our model surprised with a real text.mp4 26.78 MB
004.Language modeling it's all about counting!/014. Smoothing what if we see new n-grams.mp4 27.26 MB
005.Sequence tagging with probabilistic models/015. Hidden Markov Models.mp4 49.4 MB
005.Sequence tagging with probabilistic models/016. Viterbi algorithm what are the most probable tags.mp4 39.28 MB
005.Sequence tagging with probabilistic models/017. MEMMs, CRFs and other sequential models for Named Entity Recognition.mp4 41.69 MB
006.Deep Learning for the same tasks/018. Neural Language Models.mp4 31.48 MB
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 42.93 MB
007.Word and sentence embeddings/020. Distributional semantics bee and honey vs. bee an bumblebee.mp4 28.26 MB
007.Word and sentence embeddings/021. Explicit and implicit matrix factorization.mp4 45.81 MB
007.Word and sentence embeddings/022. Word2vec and doc2vec (and how to evaluate them).mp4 39.44 MB
007.Word and sentence embeddings/023. Word analogies without magic king man + woman != queen.mp4 40.07 MB
007.Word and sentence embeddings/024. Why words From character to sentence embeddings.mp4 42.76 MB
008.Topic models/025. Topic modeling a way to navigate through text collections.mp4 25.97 MB
008.Topic models/026. How to train PLSA.mp4 23.52 MB
008.Topic models/027. The zoo of topic models.mp4 51.26 MB
009.Statistical Machine Translation/028. Introduction to Machine Translation.mp4 57.14 MB
009.Statistical Machine Translation/029. Noisy channel said in English, received in French.mp4 21.66 MB
009.Statistical Machine Translation/030. Word Alignment Models.mp4 43.09 MB
010.Encoder-decoder-attention arhitecture/031. Encoder-decoder architecture.mp4 22.4 MB
010.Encoder-decoder-attention arhitecture/032. Attention mechanism.mp4 31.18 MB
010.Encoder-decoder-attention arhitecture/033. How to deal with a vocabulary.mp4 40.07 MB
010.Encoder-decoder-attention arhitecture/034. How to implement a conversational chat-bot.mp4 38.18 MB
011.Summarization and simplification tasks/035. Sequence to sequence learning one-size fits all.mp4 36.74 MB
011.Summarization and simplification tasks/036. Get to the point! Summarization with pointer-generator networks.mp4 41.02 MB
012.Natural Language Understanding (NLU)/037. Task-oriented dialog systems.mp4 42.26 MB
012.Natural Language Understanding (NLU)/038. Intent classifier and slot tagger (NLU).mp4 47.95 MB
012.Natural Language Understanding (NLU)/039. Adding context to NLU.mp4 17.07 MB
012.Natural Language Understanding (NLU)/040. Adding lexicon to NLU.mp4 28.37 MB
013.Dialog Manager (DM)/041. State tracking in DM.mp4 44.94 MB
013.Dialog Manager (DM)/042. Policy optimisation in DM.mp4 27.08 MB
013.Dialog Manager (DM)/043. Final remarks.mp4 21.62 MB
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