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

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Learner Reviews & Feedback for Custom and Distributed Training with TensorFlow by DeepLearning.AI

4.8

stars

434 ratings

About the Course

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 reviews

Jan 8, 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

Jul 15, 2021

5 stars for excellent videos, contents and code walkthrough. Insipired me to learn more and experiment on distributed training and custom training loop.

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51 - 64 of 64 Reviews for Custom and Distributed Training with TensorFlow

By Javier B

•

Jul 6, 2021

very nice

By Muhammad K I

•

May 22, 2024

awesome

By Justin H

•

Jul 17, 2023

Brutal.

By Hoang D

•

Dec 26, 2021

useful

By Marc S

•

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.

By Manoj P

•

Dec 30, 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.

By 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.

By 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.