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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

AA
1. Feb. 2021

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

DG
26. Nov. 2020

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

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26 - 31 von 31 Bewertungen für Custom and Distributed Training with TensorFlow

von Alexander A

29. Aug. 2021

Great course!

von Javier B

6. Juli 2021

very nice

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 Wendy W Y M

18. Dez. 2020

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