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返回到 Natural Language Processing in TensorFlow

学生对 DeepLearning.AI 提供的 Natural Language Processing in TensorFlow 的评价和反馈

4.6
6,531 个评分

课程概述

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the DeepLearning.AI TensorFlow Developer Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an LSTM on existing text to create original poetry! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

热门审阅

FQ

Oct 26, 2023

I already had some theoretical background from the Deep Learning Specialization from Andrew Ng, but with this course, I feel much more confident about building real-world applications with TensorFlow.

GS

Aug 26, 2019

Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!

筛选依据:

926 - Natural Language Processing in TensorFlow 的 950 个评论(共 1,006 个)

创建者 Ho Y C

Sep 6, 2019

The materials are not up to date to the latest research

创建者 kishore r

Apr 2, 2020

some portion of the course content is not interactive.

创建者 Miguel R

Oct 25, 2020

Feels there where too many concepts not well covered

创建者 Apoorv G

Jul 17, 2020

Short Videos are annoying. Overall content is good.

创建者 Swetha S

May 10, 2020

No graded assignments. No conceptual explanation.

创建者 Biao W

Apr 16, 2020

Need more explanations on the RNN models itself.

创建者 Soumya B

Nov 21, 2021

Please add Coursera assignment based on coding

创建者 Ramil A

Apr 15, 2020

I wish there were more graded projects.

创建者 Igors K

Nov 21, 2019

No practical exercises that one must do

创建者 Shubham A G

Aug 30, 2019

A bit too easy and no real assignments

创建者 Ethan

Apr 12, 2020

I wish there were graded assignments.

创建者 Ashwin H

Apr 25, 2020

Coding assignments are much needed!

创建者 Ahmad O

Sep 14, 2020

Assignments need some improvment.

创建者 Sumit V

May 28, 2020

not enough programming exercises

创建者 giuseppe d m

Jul 19, 2020

Concepts explained too quiclky

创建者 Salem S

Apr 16, 2020

Code should be explained more

创建者 Albert J

Jun 20, 2020

Not challenging enough....

创建者 Ankit G

May 17, 2020

No programming assignments

创建者 Leon V (

Jun 13, 2020

Force me to write code.

创建者 Artem K

Oct 6, 2020

Need more practice

创建者 chris a

Jan 27, 2024

Felt a bit rushed

创建者 Vikas C

Dec 24, 2019

Good course

创建者 Y Z

Jan 7, 2022

too easy

创建者 Hamzeh A

Aug 20, 2019

good

创建者 Vasileios D S

Aug 30, 2021

Normally the courses of this specialization are well-structured and, although not very demanding, quite complete and self-contained, but in this case the content covered didn't go deep enough and there was very little insight provided into the principle of RNNs and specifically LTSMs, other than pointing to other lectures.

Also, while sentiment recognition seemed to be an interesting and promising field, the results of all attempts at text generation were so laughable that it made me wonder as to why was half the course devoted to it instead of some other application area of NLP