Name: Custom and Distributed Training with TensorFlow
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.8 (64 reviews)

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4.8

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434 个评分

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....

51 - Custom and Distributed Training with TensorFlow 的 64 个评论（共 64 个）

创建者 Javier B

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Jul 6, 2021

very nice

创建者 Muhammad K I

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May 22, 2024

awesome

创建者 Justin H

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Jul 17, 2023

Brutal.

创建者 Hoang D

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Dec 26, 2021

useful

创建者 Marc S

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Aug 12, 2024

Very good. I love how it refers to the papers in which the algorithms are based. But of course i wish that from here they would go even deeper on some of them. Perhaps with time, space opens up so they will want to dig down further. This is already satisfying and an excellent course though.

创建者 Manoj P

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Dec 29, 2022

This lecture series is really easy to follow and informative. I previously had no experience with distributed training concepts. I think It opened up doors for me to learn more advance concepts regarding distributed training using TensorFlow or any other deep learning frameworks.

创建者 Gabriel M B

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Oct 2, 2022

Great course! The only downside, but maybe it's just out of the course's scope, is the lack of real projects at the end of it. That is left up to you, which is not a bad thing, but it'd be nice to have it as a great conclusion to a great course.

创建者 Giora S

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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.