Negative Sampling

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Получаемые навыки

Recurrent Neural Network, Artificial Neural Network, Deep Learning, Long Short-Term Memory (ISTM)

Рецензии

4.8 (оценок: 25,383)
  • 5 stars
    83.56%
  • 4 stars
    13.19%
  • 3 stars
    2.52%
  • 2 stars
    0.46%
  • 1 star
    0.24%
SD
27 сент. 2018 г.

Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.

JS
12 июля 2020 г.

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

Из урока
Natural Language Processing & Word Embeddings

Преподаватели

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    Andrew Ng

    Instructor
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    Kian Katanforoosh

    Curriculum Developer
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    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

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