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Bewertung und Feedback des Lernenden für Custom and Distributed Training with TensorFlow von deeplearning.ai

4.8
Sterne
293 Bewertungen
43 Bewertungen

Über den Kurs

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-Bewertungen

VV

8. Jan. 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

JN

22. Juni 2022

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

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26 - 43 von 43 Bewertungen für Custom and Distributed Training with TensorFlow

von Cristian B

2. Okt. 2021

great training for developers

von Parma R R

18. Feb. 2022

V​ery good course, thank you

von Alexander Z

26. Jan. 2021

Thanks a lot! Greate course.

von Ed H N C

23. Jan. 2021

Its getting difficult.

von Jorge S

29. März 2021

Best content around !

von M. A A

11. Feb. 2021

Great Instructor.

von Alysson M D O B

18. Juli 2021

Excelente curso!

von Alexander A

29. Aug. 2021

Great course!

von Javier B

6. Juli 2021

very nice

von Hoang D

26. Dez. 2021

useful

von Pramit D

10. Feb. 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.

von Giora S

15. Jan. 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.

von Stephen N

8. Apr. 2021

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

von Pranjal J

1. Jan. 2022

The course provides under-the-hood insights of Keras APIs and gives in-depth review of native TF APIs

von Ruchen Z

24. Jan. 2022

W1 & W2 are amazing, W3 & W4 doesn't help much.

von Duc A L

19. Okt. 2021

Week 03 Grader is error

von H.S

18. Feb. 2022

A complete waste of time.

von Wendy W Y M

18. Dez. 2020

nothing here that I can't get from just reading the docs...