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100 Best Word Embedding Videos | Neural Language Models 2016 | Word2vec & Dialog Systems 2016
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- CMU Neural Nets for NLP 2017 (4): Why is word2vec so fast? Efficiency Tricks.
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- *DataScienceDaily* for June 16, 2017 – Facebook Gets Bots to Negotiate, Word2Vec, and 25 Billio
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- Tensorflow 11?. Word2Vec part 1.
- Lecture 2 | Word Vector Representations: word2vec
- Deep Learning Chatbot using Keras and Python – Part 2 (Text/word2vec inputs into LSTM)
- RRP #1: Tomáš Mikolov on word2vec and AI research at Microsoft, Google, Facebook
- Ali Ghodsi, Lec 13: Word2Vec Skip-Gram
- Ali Ghodsi, Lec 12: Neural Networks, Autoencoders, Word2Vec
- Word2vec with Gensim – Python
- D2L4 Word Embeddings – Word2Vec (by Antonio Bonafonte)
- TensorBoard: Embedding Visualization | TensorFlow – Word2Vec sample
- TechTalk #32 – Word2Vec: When Language Meets Number Crunching by Prachya Boonkwan
- Word2Vec-Skip-Gram (Part-2)
- Word2Vec-Skip-Gram (Part-1)
- RubyConf Taiwan 2016 — How I made a pure-Ruby word2vec program more than 3x faster by Kei Sawada
- Data for Democracy Tech Talks: word2vec
- Deep Learning Natural Language Processing in Python with GLoVe From Word2Vec to GLoVe in Python and
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- Word2Vec Tensorflow Embedding Dataviz
- Deep Learning Natural Language Processing in Python with GLoVe From Word2Vec to GLoVe in Python and
- Algoflash IV : word2vec
- Word2vec: Continuous bag-of-words based architecture Part-2
- Word2vec: Continuous bag-of-words architecture Part-1
- Word2vec – De la teoría a la práctica usando gensim
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- Python Sevilla – Codificadores neuronales & word2vec
- Word2Vec
- Word2Vec Details
- TrueNorth Word2vec demo
- BrainCode 2016 – Word2Vec Tools – Dezinformator
- Word Embedding Explained and Visualized – word2vec and wevi
- Advanced Apache Spark Meetup 01-12-2016 Spark Stanford CoreNLP Succinct Word2Vec
- Data Science in 30 Minutes #2: Neural Networks and word2vec
- Ali Ghodsi, Lec [3,2]: Deep Learning, Word2vec
- Ali Ghodsi, Lec [3,1]: Deep Learning, Word2vec
- Extending Word2Vec for Performance and Semi Supervised Learning – Michael Malak (Oracle)
- Sentiment Analysis using word2vec
- Globally Scalable Web Document Classification Using Word2Vec
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