Chevron Left
Natural Language Processing in TensorFlow(으)로 돌아가기

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

4,571개의 평가
705개의 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 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....

최상위 리뷰


Aug 27, 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 22, 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!!

필터링 기준:

Natural Language Processing in TensorFlow의 705개 리뷰 중 651~675

교육 기관: Rohit R C

May 09, 2020

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

교육 기관: NIKITHA M T

Apr 30, 2020

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

교육 기관: Chan H Y

Sep 07, 2019

The materials are not up to date to the latest research

교육 기관: Sai k r

Apr 03, 2020

some portion of the course content is not interactive.

교육 기관: Miguel R

Oct 25, 2020

Feels there where too many concepts not well covered

교육 기관: Apoorv G

Jul 17, 2020

Short Videos are annoying. Overall content is good.

교육 기관: Swetha S

May 10, 2020

No graded assignments. No conceptual explanation.

교육 기관: Zanuar E

May 22, 2020

The sound quality is bad, but the lesson is good

교육 기관: Biao W

Apr 16, 2020

Need more explanations on the RNN models itself.

교육 기관: Ramil A

Apr 16, 2020

I wish there were more graded projects.

교육 기관: Igors K

Nov 21, 2019

No practical exercises that one must do

교육 기관: Shubham A G

Aug 31, 2019

A bit too easy and no real assignments

교육 기관: Yuxuan C

Apr 13, 2020

I wish there were graded assignments.

교육 기관: Ashwin H

Apr 25, 2020

Coding assignments are much needed!

교육 기관: Ahmed O M

Sep 14, 2020

Assignments need some improvment.

교육 기관: SUMIT V

May 29, 2020

not enough programming exercises

교육 기관: Giuseppe d M

Jul 19, 2020

Concepts explained too quiclky

교육 기관: Salem S

Apr 16, 2020

Code should be explained more

교육 기관: albert

Jun 20, 2020

Not challenging enough....

교육 기관: Ankit G

May 17, 2020

No programming assignments

교육 기관: Leon V

Jun 13, 2020

Force me to write code.

교육 기관: Artem K

Oct 06, 2020

Need more practice

교육 기관: Vikas C

Dec 24, 2019

Good course

교육 기관: Hamzeh A

Aug 20, 2019


교육 기관: Li P Z

Feb 29, 2020

Very disappointed in this course. Instructor seems to have limited understanding of how sequence models and word embeddings work, or is unable to communicate the ideas in his teaching. Explanation for the theory is limited, and he has difficulty tying theory to the TensorFlow framework. Not sure why you would begin teaching sequence models with LSTM blocks combined with standard NN, way too complex structure. Instructor doesn't talk about why sequence models are important and useful in the first place. Very very poor.