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学生对 deeplearning.ai 提供的 Custom and Distributed Training with TensorFlow 的评价和反馈

4.8
243 个评分
33 条评论

课程概述

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....

热门审阅

AA
Feb 1, 2021

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

DG
Nov 26, 2020

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

筛选依据:

26 - Custom and Distributed Training with TensorFlow 的 34 个评论(共 34 个)

创建者 M. A A

Feb 11, 2021

Great Instructor.

创建者 Alysson M

Jul 18, 2021

Excelente curso!

创建者 Alexander A

Aug 29, 2021

Great course!

创建者 Javier B

Jul 6, 2021

very nice

创建者 Pramit D

Feb 10, 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.

创建者 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.

创建者 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

创建者 Duc A L

Oct 19, 2021

Week 03 Grader is error

创建者 Wendy W Y M

Dec 18, 2020

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