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Learner Reviews & Feedback for Natural Language Processing in TensorFlow by DeepLearning.AI

4.6
stars
6,390 ratings

About the Course

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....

Top reviews

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!

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901 - 925 of 991 Reviews for Natural Language Processing in TensorFlow

By Max W

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Jan 3, 2020

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

By Nicolai W

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Sep 14, 2019

Comprehensive explanation videos but not enough practical coding exercises.

By Abhishek B U

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Dec 25, 2021

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

By Jakub P

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Dec 24, 2020

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

By Matteo T

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Apr 23, 2020

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

By Hyunuk L

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Jun 25, 2020

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

By Aleksander W

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Mar 24, 2021

no graded coding exercises, scope is extremely simplistic

By Shankar G

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Apr 1, 2020

Could've lot of small exercises to understand much better

By Ondrej S

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Apr 16, 2020

it would be better to include graded assignments as well

By Rohit R C

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May 9, 2020

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

By NIKITHA M T

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Apr 30, 2020

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

By Ho Y C

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Sep 6, 2019

The materials are not up to date to the latest research

By kishore r

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Apr 2, 2020

some portion of the course content is not interactive.

By Miguel R

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Oct 25, 2020

Feels there where too many concepts not well covered

By Apoorv G

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Jul 17, 2020

Short Videos are annoying. Overall content is good.

By Swetha S

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May 10, 2020

No graded assignments. No conceptual explanation.

By Biao W

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Apr 16, 2020

Need more explanations on the RNN models itself.

By Soumya B

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Nov 21, 2021

Please add Coursera assignment based on coding

By Ramil A

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Apr 15, 2020

I wish there were more graded projects.

By Igors K

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Nov 21, 2019

No practical exercises that one must do

By Shubham A G

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Aug 31, 2019

A bit too easy and no real assignments

By Ethan

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Apr 12, 2020

I wish there were graded assignments.

By Ashwin H

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Apr 25, 2020

Coding assignments are much needed!

By Ahmad O

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Sep 14, 2020

Assignments need some improvment.

By Sumit V

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May 28, 2020

not enough programming exercises