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Natural Language Processing in TensorFlow(으)로 돌아가기

deeplearning.ai의 Natural Language Processing in TensorFlow 학습자 리뷰 및 피드백

4.6
별점
5,647개의 평가
886개의 리뷰

강좌 소개

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....

최상위 리뷰

GS
2019년 8월 26일

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
2020년 7월 21일

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!!

필터링 기준:

Natural Language Processing in TensorFlow의 888개 리뷰 중 801~825

교육 기관: FARROUK_ABDERRAHIM B

2021년 10월 17일

i was hoping to go more into details about building Transformer for RNN using TensorFlow

교육 기관: WU F

2020년 5월 16일

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

교육 기관: JiahuiWEI

2019년 9월 9일

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

교육 기관: Yves B

2019년 11월 16일

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

교육 기관: Angel S

2020년 11월 10일

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

교육 기관: Venkatesh S

2020년 1월 16일

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

교육 기관: Max W

2020년 1월 3일

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

교육 기관: Nicolai W

2019년 9월 14일

Comprehensive explanation videos but not enough practical coding exercises.

교육 기관: Jakub P

2020년 12월 24일

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

교육 기관: Matteo T

2020년 4월 23일

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

교육 기관: Hyunuk L

2020년 6월 25일

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

교육 기관: Aleksander W

2021년 3월 24일

no graded coding exercises, scope is extremely simplistic

교육 기관: Shankar G

2020년 4월 1일

Could've lot of small exercises to understand much better

교육 기관: Ondrej S C P S 8 1 0 V I 2 D C

2020년 4월 16일

it would be better to include graded assignments as well

교육 기관: Rohit R C

2020년 5월 9일

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

교육 기관: NIKITHA M T

2020년 4월 30일

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

교육 기관: Ho Y C

2019년 9월 6일

The materials are not up to date to the latest research

교육 기관: kishore r

2020년 4월 2일

some portion of the course content is not interactive.

교육 기관: Miguel R

2020년 10월 25일

Feels there where too many concepts not well covered

교육 기관: Apoorv G

2020년 7월 17일

Short Videos are annoying. Overall content is good.

교육 기관: Swetha S

2020년 5월 10일

No graded assignments. No conceptual explanation.

교육 기관: Biao W

2020년 4월 16일

Need more explanations on the RNN models itself.

교육 기관: Ramil A

2020년 4월 15일

I wish there were more graded projects.

교육 기관: Igors K

2019년 11월 21일

No practical exercises that one must do