Chevron Left
Zurück zu Custom and Distributed Training with TensorFlow

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

4.8
Sterne
304 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

Filtern nach:

1 - 25 von 45 Bewertungen für Custom and Distributed Training with TensorFlow

von DEBASHIS G

27. Nov. 2020

von Shaik S

23. Nov. 2020

von Pramit D

10. Feb. 2021

von Hüseyin K

16. Feb. 2021

von Homayoun

23. Apr. 2021

von Francois R

6. März 2021

von Muhammad D

12. Juni 2022

von Vaseekaran V

9. Jan. 2022

von Rajendra A

16. Juli 2021

von josua n

23. Juni 2022

von Gang-Won J

12. Dez. 2021

von Animesh

2. Feb. 2021

von Nikolay S

28. Feb. 2021

von Abdelrahman A

21. Jan. 2021

von Tuan D V

11. Aug. 2021

von Artur Z

8. Jan. 2021

von 동인 장

29. März 2021

von Seyyed S M

6. Aug. 2022

von Gonzalo G N

20. Feb. 2021

von Marco S

29. Juli 2021

von Yasar M

18. Juni 2021

von Marco

14. Okt. 2021

von Pratama A A

6. Apr. 2021

von Himasha J

25. Okt. 2021

von David J

25. Nov. 2021