Sampling novel sequences

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deeplearning.ai
4.8(26,459 个评分) | 290K 名学生已注册
课程 5(共 5 门,深度学习 专项课程
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您将学习的技能

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

审阅

4.8(26,459 个评分)
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AM
Jun 30, 2019

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.

JR
May 25, 2019

I am so grateful that Andrew and the team provided such good course, I learn so much from this course, I am so excited that see the wake word detection model actually work in the programming exercise

从本节课中
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.

教学方

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    Andrew Ng

    Instructor
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    Kian Katanforoosh

    Curriculum Developer
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    Younes Bensouda Mourri

    Curriculum developer

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