Chevron Left
Back to Custom and Distributed Training with TensorFlow

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.

Filter by:

26 - 50 of 58 Reviews for Custom and Distributed Training with TensorFlow

By Carlos H A P

Mar 20, 2023

Mais um curso excelente da Deeplearning.AI.

By Pratama A A

Apr 6, 2021

Precise and easy to understand for begineer

By Himasha J

Oct 25, 2021

great course , highly recommended

By David J

Nov 25, 2021

It was very informative and fun.

By Ashish P

Jun 30, 2021

Wonderful Explained this course.

By Aleksandr S

Jan 29, 2021

Very informative and cool stuff

By Cristian B

Oct 2, 2021

great training for developers

By Parma R R

Feb 18, 2022

Very good course, thank you

By Aleksander Z

Jan 26, 2021

Thanks a lot! Greate course.

By Ed H C

Jan 23, 2021

Its getting difficult.

By Jorge S

Mar 29, 2021

Best content around !

By CARLOS A L F

Aug 21, 2022

Excellent course!!!

By M. A A

Feb 11, 2021

Great Instructor.

By Alysson M D O B

Jul 18, 2021

Excelente curso!

By Đạt N

Nov 12, 2022

it's very good.

By Olexander A

Aug 29, 2021

Great course!

By Alireza K

Sep 10, 2023

Great course

By Chandrashekhar C

Mar 5, 2024

very nice

By Javier B

Jul 6, 2021

very nice

By Justin H

Jul 17, 2023

Brutal.

By Hoang D

Dec 26, 2021

useful

By Manoj P

Dec 30, 2022

This lecture series is really easy to follow and informative. I previously had no experience with distributed training concepts. I think It opened up doors for me to learn more advance concepts regarding distributed training using TensorFlow or any other deep learning frameworks.

By Gabriel M B

Oct 2, 2022

Great course! The only downside, but maybe it's just out of the course's scope, is the lack of real projects at the end of it. That is left up to you, which is not a bad thing, but it'd be nice to have it as a great conclusion to a great course.

By Giora S

Jan 15, 2021

This course was much more detailed, I liked it. I hope there's a TF course down the road which really gets into all those numpy-like TF functions and APIs and how to use them for complex layers and losses.

By Stephen N

Apr 8, 2021

For a newbie (me) this course helps me to know something new but it's not much helpful for my current job now