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Opiniones y comentarios de aprendices correspondientes a Custom and Distributed Training with TensorFlow por parte de deeplearning.ai

4.8
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341 calificaciones

Acerca del Curso

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....

Principales reseñas

VV

8 de ene. de 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

15 de jul. de 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 de 51 revisiones para Custom and Distributed Training with TensorFlow

por DEBASHIS G

27 de nov. de 2020

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

por Shaik S

23 de nov. de 2020

short and sweet course :)

por Pramit D

10 de feb. de 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.

por Hüseyin K

16 de feb. de 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.

por Homayoun

23 de abr. de 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.

por Francois R

6 de mar. de 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

por Muhammad D

12 de jun. de 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 !

por Vaseekaran V

9 de ene. de 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

por Rajendra A

16 de jul. de 2021

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

por josua n

23 de jun. de 2022

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

por Gang-Won J

12 de dic. de 2021

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

por Animesh

2 de feb. de 2021

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

por Nikolay S

28 de feb. de 2021

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

por Abdelrahman A

21 de ene. de 2021

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

por Tuan D V

11 de ago. de 2021

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

por Artur Z

8 de ene. de 2021

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

por 동인 장

29 de mar. de 2021

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

por liangyi

4 de dic. de 2022

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

por Seyyed S M

6 de ago. de 2022

Amazing Course With Simple Words And High-Level Understanding.

por Gonzalo G N

20 de feb. de 2021

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

por Marco S

29 de jul. de 2021

The best course I have taken on Coursera so far.

por Yasar M

18 de jun. de 2021

Excellent course. Difficulty level is just right

por Marco

14 de oct. de 2021

saved me a ton of time. thank you very much

por Carlos H A P

20 de mar. de 2023

Mais um curso excelente da Deeplearning.AI.

por Pratama A A

6 de abr. de 2021

Precise and easy to understand for begineer