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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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101 - 125 of 991 Reviews for Natural Language Processing in TensorFlow

By SMRUTI R D

Jul 14, 2020

As the name of the specialization suggests, this course is practice oriented. The projects and exercises have been designed to give more detailed insight in a gradual way as one progresses.

I enjoyed the course thoroughly with an insight into the subject.

By AKSHAY K C

Apr 7, 2020

The course on Natural Language Processing was well organized and taught by the instructor. To be more correct he actually nailed what was required in such a small duration with a very clear understanding. Kudos to the team for designing such a course.

By Naveen K B

Mar 3, 2020

Thank you Coursera or giving this wonderful course! This course really helped me in strengthening my knowledge on Natural Language processing and better understanding of the different architectures like RNN,LSTM and applying them in real world problem

By Abhishek P

Sep 18, 2020

Need more like these where we explore some advanced concepts, tips, tricks, techniques such as mode types of augmentations, pseudo labelling, test time augmentations, learning rate schedulers, GANs, DeepDream and more and more code-based things.

By Prashant J

Apr 2, 2020

Another a great course by Laurence Moroney. This is my third course in the Tensorflow Specilization and the really good thing about this course is that I learned some interesting stuff lyrics or poetry generation using Recurrent Neural Network

By samuel k

Nov 26, 2020

you ever been in kindergarten and seen how the teacher systematically introduces the kids to learning and writing and by the end, the kids know how to read and how to write? This is one of the best course and I just say God bless you guys.

By Tharindu B A

Jul 31, 2019

Well balanced short and sweet course with practical programming exercises as well as solid theoretical background superbly presented by outstanding tech experts. Looking forward eager for next courses of this series. Thank you very much!

By Eulier A G M

Aug 11, 2019

Quite well informative intro for AI Beginners in concepts like: -Sentiments -Word Embedding -Recurrent Neural Networks. Is there a concept needed for this course that students must investigate if you don't know, high dimensional space.

By Ndamulelo N

Sep 8, 2022

This is a great fundamentals course for anyone who is looking to leverage tensorflow in NLP workflows. After doing the programming assignments you should be able to quickly create NLP models for your text data with minimal 'googling'

By Juan-Pablo P

Feb 25, 2020

This course was an excellent start to learn the basic concepts of RNN, LSTM. It also helped a lot to learn how to pre-process text data in order to convert words into numerical vectors that can be used as inputs to any neural network.

By Jafed E G

Jul 6, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

By Shefali S

Jul 6, 2020

This course is really amazing!!!

In this course, they take the learner from very basic to an intermediate level. The course is really helpful for those who want to know about the basic NLP... I love the course and the way they teach.

By Moustafa S

Jun 27, 2020

now that was so good, other than having a terrible time with fixing the auto grader, i got to work on my local machine and do the tasks alone, without having to go through the pain of auto graders, thank you for this awesome course

By Surga K G

Dec 11, 2020

Great Explanation and good programming exercises, By enrolling this course I learned lot and also came to know much important topics in NLP and this course helped me a lot in building very robust NLP applications.

Thanks Coursera.

By Kshamata S

Aug 13, 2020

Thanks to the instructor for creating such an amazing and awesome course.

It was an amazing journey to start from very basic to advanced stuff.

This the best course for Nlp with Tensorflow.

I would definitely recommend this course.

By Doma Z

Aug 10, 2022

I learned a lot about natural language processing using TensorFlow through this course. I love the way he packed the materials, how he delivered the materials, and how he gave us change to practice using TensorFlow with Python.

By Mbasa C

Aug 25, 2021

Excellent course! Mr Mooney, has a very intuitive way of explaining the concepts. In addition, he explains the code as well. I have confidence now, to approach personal projects and apply the learned knowledge.

Great Job guys!!

By Zeeshan A

Jun 25, 2020

The specialization covers brief introduction to the concepts of Computer Vision and Natural Language Processing. It introduces to TensorFlow and gives a hands-on practical experience over the tool through simple assignments.

By Sumedh K

May 16, 2020

The course is well planned and well delivered. It would have been great if there were longer videos and in-depth explanation of the codes. Also, it uses keras. Which is fine with me. But the title is a little bit misleading.

By Ch'ng H Z

Oct 12, 2020

Great, this course shows me the ways to process language (sequential) data and build model on it.

Thanks Laurence, Andrew and Deeplearning ai for provide this course.

It would be great if there is more exercises available. ^^

By Divyanshu D

Jun 1, 2020

Nice way to start NLP first try to get some essence from this course and then dive deeper into mathematics. Because when you see happening things in front of your eye then you want to know more about it.

Highly recommended

By Kutseno K

Mar 18, 2021

Очень понравилась возможность изучить Embedding слои визуально, до этого я только слышал о такой возможности, некоторые колабы немного устарели не могут быть запущены, но в большинстве случаев это легко исправляется

By Rahul R

Sep 30, 2019

Very very informative course. I really loved the way Laurence Moroney step by step explained every concept. The examples were pretty nice. First time I learned how to use LSTM (using RNN). Thank you Coursera team.

By chintamani m

May 22, 2021

Really a very good course that covers almost all the critical aspects of NLP using deep learning by building up our skills set and giving us more confidence with each exercise as we move on within this course.

By Jose A G R

Sep 23, 2020

El curso es genial, solo que un poco avanzado para principiantes en el Procesamiento de texto. Estaría bien incluir algunos recursos para buscar información de la matemática detrás del procesamiento de texto.