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Learner Reviews & Feedback for Custom and Distributed Training with TensorFlow by DeepLearning.AI

4.8
stars
379 ratings

About the Course

In this course, you will: • Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the difference between the eager and graph modes in TensorFlow, and learn how to use a TensorFlow tool to calculate gradients. • Build your own custom training loops using GradientTape and TensorFlow Datasets to gain more flexibility and visibility with your model training. • Learn about the benefits of generating code that runs in graph mode, take a peek at what graph code looks like, and practice generating this more efficient code automatically with TensorFlow’s tools. • Harness the power of distributed training to process more data and train larger models, faster, get an overview of various distributed training strategies, and practice working with a strategy that trains on multiple GPU cores, and another that trains on multiple TPU cores. The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models. This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models....

Top reviews

VV

Jan 8, 2022

Another great course by Moroney sir. Loved how TF can be used to train models using different strategies. A great intro to the deep applications of TensorFlow

RA

Jul 15, 2021

5 stars for excellent videos, contents and code walkthrough. Insipired me to learn more and experiment on distributed training and custom training loop.

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1 - 25 of 58 Reviews for Custom and Distributed Training with TensorFlow

By DEBASHIS G

Nov 27, 2020

A very detailed course with lots of nitty gritty. Learned a lot and of course enjoyed it thoroughly.

By Shaik S

Nov 23, 2020

short and sweet course :)

By Hüseyin K

Feb 16, 2021

It is necessary to do great research, coding and grapple with many mistakes in order to make very effective and possible works with Tensorflow. In this course I learned a lot in a short time. If I researched what I learned here for days, I could only put it together. Thanks Laurance and all coursera team in the back.

By Homayoun

Apr 23, 2021

My favorite part of this course and other courses in this and other TensorFlow specializations offer by Laurence and Deep learnign.AI is the recaps at the beginning of every video; He connects all the videos and concepts together and makes the learner understand where they are and where they're going and why.

By Pramit D

Feb 10, 2021

75% of the course was good. Many of the topics were very interesting i.e. how default functions work and all. But the last weak was too hard and was not explained well. Again, it was suggested to use slack instead of discussion forums. But the mentors didn't respond to my query. Hence, the course is a good course and worth taking.

By Francois R

Mar 6, 2021

Great Course,

It would have been laborious for me to try to learn about Tensorflow graph mode and Tensorflow distributed training by myself.

The thing was chopped in very small chunks that were very easy to digest.

The best part is that I now have working notebook examples that I can use.

Thanks

By Muhammad D

Jun 12, 2022

A few things had been difficult to follow, and it took some time to get used to autograph implementation and distributed training strategies in TensorFlow. Nonetheless, it had been a wonderful experience to learn from DeepLearning.AI !

By Hagar B

May 9, 2023

The course is very fine , yet I guess in need more in the practical part , even a recorded video as most of the people dont have multiple GPU on a singel device to detect the effect of implementing mirroring strategy

By Vaseekaran V

Jan 9, 2022

Another great course by Moroney sir. Loved how TF can be used to train models using different strategies. A great intro to the deep applications of TensorFlow

By Rajendra A

Jul 16, 2021

5 stars for excellent videos, contents and code walkthrough. Insipired me to learn more and experiment on distributed training and custom training loop.

By josua n

Jun 23, 2022

Detail and easy to understand. I really recommend this specialization to improve training process using distributed training and strategy

By Gang-Won J

Dec 12, 2021

It was helpful to learn the details of the optimization by using GradientTape and manually updating the parameters for every iteration.

By Animesh

Feb 2, 2021

great to learn things about writing custom training loops, and distributed training of deep learning models.

By Nikolay S

Feb 28, 2021

This course was fantastic! Laurence and DeepLearning.ai team did great job. Definitely recommended.

By Abdelrahman A

Jan 21, 2021

He is a very good instructor and the content is well prepared, also the course covers rare topics.

By Vinay K Y

Oct 31, 2023

Awesome course for everyone in this field who want tp excel in model training efficiently.

By Tuan D V

Aug 11, 2021

Really helpful for people who want to learn deeply TensorFlow in terms of Deep Learning

By Artur Z

Jan 8, 2021

Difficult concepts are explained with simple words and simple examples. Great course

By 동인 장

Mar 29, 2021

very good class to teach distributed training using mult-gpus and tpus

By liangyi

Dec 4, 2022

Thank you course team, you have helped many people in the world !

By Seyyed S M

Aug 6, 2022

Amazing Course With Simple Words And High-Level Understanding.

By Gonzalo G N

Feb 20, 2021

One of the most interesting and intese courses I have done!

By Marco S

Jul 29, 2021

The best course I have taken on Coursera so far.

By Yasar M

Jun 18, 2021

Excellent course. Difficulty level is just right

By Marco

Oct 14, 2021

saved me a ton of time. thank you very much