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

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838 条评论


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 TensorFlow 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 TensorFlow 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....


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!

Jul 21, 2020

Great course for anyone interested in NLP! This course focuses on practical learning instead of overburdening students with theory. Would recommend this to every NLP beginner/enthusiast out there!!


751 - Natural Language Processing in TensorFlow 的 775 个评论(共 834 个)

创建者 Aishwarya N

Jul 24, 2020

Good teaching but a tough course to understand . good that there is no graded coding assignment

创建者 Vishwak S

Apr 30, 2021

Good content. But there was no graded lab and audio quality of the videos is very very poor.


Jun 23, 2020

Concepts are explained less as compared to a great course on convolutional network course-2

创建者 Andrew T

Jan 15, 2020

I wish there are more hands-on practice projects and more explanations of the NLP concepts.

创建者 Sebastian S

Feb 21, 2021

some broken links and about 20-30% of the colab linked work books don't run out of the box

创建者 WU F

May 16, 2020

I don't think it teaches well. The materials are not organized suitably for beginners.

创建者 JiahuiWEI

Sep 9, 2019

It would be better to have acess to the notebook of lessons and some explainations

创建者 Yves B

Nov 16, 2019

I wished to learn more details about the different types of RNN like GRU or LSTM.

创建者 Angel S

Nov 10, 2020

I think the course is a very basic in the topic. Many details are not explained.

创建者 Venkatesh S

Jan 16, 2020

The code should be explained a bit better on the advanced RNN, LSTM examples.

创建者 Max W

Jan 3, 2020

moved very quickly...needed a bit more theory and slower code walk throughs

创建者 Nicolai W

Sep 14, 2019

Comprehensive explanation videos but not enough practical coding exercises.

创建者 Jakub P

Dec 24, 2020

Surprisingly little material. The ungraded labs are okay but very simple

创建者 Matteo T

Apr 23, 2020

Compared with the two previous courses I found this one very boring

创建者 Hyunuk L

Jun 25, 2020

good overall! but the course materials are maybe too basic...

创建者 Aleksander W

Mar 24, 2021

no graded coding exercises, scope is extremely simplistic

创建者 Shankar G

Apr 1, 2020

Could've lot of small exercises to understand much better

创建者 Ondrej S C P S 8 1 0 V I 2 D C

Apr 16, 2020

it would be better to include graded assignments as well

创建者 Rohit R C

May 9, 2020

Could be more detailed, lots of doubts are still there.


Apr 30, 2020

The sound is very low and I have to strain to hear them

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.