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Natural Language Processing in TensorFlow に戻る

deeplearning.ai による Natural Language Processing in TensorFlow の受講者のレビューおよびフィードバック

4.6
5,890件の評価
917件のレビュー

コースについて

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 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 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....

人気のレビュー

GS

2019年8月26日

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!

AS

2020年7月21日

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!!

フィルター:

Natural Language Processing in TensorFlow: 826 - 850 / 920 レビュー

by WU F

2020年5月16日

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

by JiahuiWEI

2019年9月9日

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

by Yves B

2019年11月16日

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

by ROHAN G

2021年12月14日

There sh'd be a good description in one course instead of visiting other courses

by Angel S

2020年11月10日

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

by Venkatesh S

2020年1月16日

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

by Max W

2020年1月3日

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

by Nicolai W

2019年9月14日

Comprehensive explanation videos but not enough practical coding exercises.

by Abhishek B U

2021年12月25日

Course was realli nice.I liked how they focussed on self learning approch.

by Jakub P

2020年12月24日

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

by Matteo T

2020年4月23日

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

by Hyunuk L

2020年6月25日

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

by Aleksander W

2021年3月24日

no graded coding exercises, scope is extremely simplistic

by Shankar G

2020年4月1日

Could've lot of small exercises to understand much better

by Ondrej S

2020年4月16日

it would be better to include graded assignments as well

by Rohit R C

2020年5月9日

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

by NIKITHA M T

2020年4月30日

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

by Ho Y C

2019年9月6日

The materials are not up to date to the latest research

by kishore r

2020年4月2日

some portion of the course content is not interactive.

by Miguel R

2020年10月25日

Feels there where too many concepts not well covered

by Apoorv G

2020年7月17日

Short Videos are annoying. Overall content is good.

by Swetha S

2020年5月10日

No graded assignments. No conceptual explanation.

by Biao W

2020年4月16日

Need more explanations on the RNN models itself.

by Soumya B

2021年11月21日

Please add Coursera assignment based on coding