Sampling novel sequences

video-placeholder
Loading...
deeplearning.ai
4.8(26,431 個評分) | 290K 名學生已註冊
課程 5(共 5 門,深度学习 專項課程
查看授課大綱

您將學習的技能

Natural Language Processing, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network, Attention Models

審閱

4.8(26,431 個評分)
  • 5 stars
    83.68%
  • 4 stars
    13.09%
  • 3 stars
    2.49%
  • 2 stars
    0.46%
  • 1 star
    0.25%
AM
2019年6月30日

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

JS
2020年7月12日

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.

從本節課中
Recurrent Neural Networks
Learn about recurrent neural networks. This type of model has been proven to perform extremely well on temporal data. It has several variants including LSTMs, GRUs and Bidirectional RNNs, which you are going to learn about in this section.

教學方

  • Placeholder

    Andrew Ng

    Instructor
  • Placeholder

    Kian Katanforoosh

    Curriculum Developer
  • Placeholder

    Younes Bensouda Mourri

    Curriculum developer

探索我們的目錄

免費加入並獲得個性化推薦、更新和優惠。