Natural Language Processing with Deep Learning in Python
Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets
4.70 (8562 reviews)
50 660
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12 hours
content
May 2025
last update
$69.99
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What you will learn
Understand and implement word2vec
Understand the CBOW method in word2vec
Understand the skip-gram method in word2vec
Understand the negative sampling optimization in word2vec
Understand and implement GloVe using gradient descent and alternating least squares
Use recurrent neural networks for parts-of-speech tagging
Use recurrent neural networks for named entity recognition
Understand and implement recursive neural networks for sentiment analysis
Understand and implement recursive neural tensor networks for sentiment analysis
Use Gensim to obtain pretrained word vectors and compute similarities and analogies
Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion
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918390
udemy ID
30/07/2016
course created date
28/07/2019
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