DeepLearning.AI
Custom and Distributed Training with TensorFlow
DeepLearning.AI

Custom and Distributed Training with TensorFlow

Laurence Moroney

Instructor: Laurence Moroney

21,469 already enrolled

Gain insight into a topic and learn the fundamentals.
4.8

(407 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 24 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(407 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 24 hours
Learn at your own pace
96%
Most learners liked this course

Details to know

Shareable certificate

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Assessments

4 assignments

Taught in English

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This course is part of the TensorFlow: Advanced Techniques Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

This week, you will get a detailed look at the fundamental building blocks of TensorFlow - tensor objects. For example, you will be able to describe the difference between eager mode and graph mode in TensorFlow, and explain why eager mode is very user friendly for you as a developer. You will also use TensorFlow tools to calculate gradients so that you don’t have to look for your old calculus textbooks next time you need to get a gradient!

What's included

12 videos3 readings1 assignment1 programming assignment2 ungraded labs

This week, you will build custom training loops using GradientTape and TensorFlow Datasets. Being able to write your own training loops will give you more flexibility and visibility with your model training. You will also use a function to calculate the derivatives of functions so that you don’t have to look to your old calculus textbooks to calculate gradients.

What's included

8 videos2 readings1 assignment1 programming assignment2 ungraded labs

This week, you’ll learn about the benefits of generating code that runs in “graph mode”. You’ll take a peek at what graph code looks like, and you’ll practice generating this more efficient code automatically with TensorFlow’s tools, so that you don’t have to write the graph code yourself!

What's included

6 videos2 readings1 assignment1 programming assignment2 ungraded labs

This week, you will harness the power of distributed training to process more data and train larger models, faster. You’ll get an overview of various distributed training strategies and then practice working with two strategies, one that trains on multiple GPU cores, and the other that trains on multiple TPU cores. Get your cape ready, because you’re going to get some superpowers this week!

What's included

9 videos5 readings1 assignment2 programming assignments4 ungraded labs

Instructor

Instructor ratings
4.9 (72 ratings)
Laurence Moroney
DeepLearning.AI
19 Courses522,632 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

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Learner reviews

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4.8

407 reviews

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AZ
5

Reviewed on Jan 7, 2021

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5

Reviewed on Jan 20, 2021

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5

Reviewed on Jun 22, 2022

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