Łukasz Kaiser

Łukasz is the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper. He is a Staff Research Scientist at Google Brain and his work has greatly influenced the AI community.

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Natural Language Processing with Attention Models (Coursera)

This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them.
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Natural Language Processing with Sequence Models (Coursera)

In Course 3 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will: a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets, b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to [...]
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Natural Language Processing with Classification and Vector Spaces (Coursera)

In Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will: a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize [...]
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Natural Language Processing with Probabilistic Models (Coursera)

In Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming; b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is important for computational linguistics, c) Write a better auto-complete algorithm using [...]
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