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Back to Custom Models, Layers, and Loss Functions with TensorFlow

Learner Reviews & Feedback for Custom Models, Layers, and Loss Functions with TensorFlow by DeepLearning.AI

4.9
stars
1,080 ratings

About the Course

In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network. • Build custom loss functions (including the contrastive loss function used in a Siamese network) in order to measure how well a model is doing and help your neural network learn from training data. • Build off of existing standard layers to create custom layers for your models, customize a network layer with a lambda layer, understand the differences between them, learn what makes up a custom layer, and explore activation functions. • Build off of existing models to add custom functionality, learn how to define your own custom class instead of using the Functional or Sequential APIs, build models that can be inherited from the TensorFlow Model class, and build a residual network (ResNet) through defining a custom model class. 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

NP

Feb 3, 2021

It is advanced TF specialization and the way contents are presented in the course are very systematically. Definitely recommended for developers already familiar with TF and wanted to explore further.

DS

Mar 29, 2021

I was looking for a course about this specific topics. Previous NN courses were cool, but I think they kep short on making more complex Architechtures, which is perfectly addressed in this course.

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151 - 175 of 225 Reviews for Custom Models, Layers, and Loss Functions with TensorFlow

By Makarichev V

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May 14, 2024

Very smart & interesting course. Thanks!

By Ronny M

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Sep 17, 2022

Great course on Tensorflow with Keras!

By Gordon R

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Sep 14, 2023

Another great course from Lawrence :)

By 江祖榮

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Apr 8, 2023

Greatest tensorflow on the ground.

By Kenneth N

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Jun 27, 2022

Exceptional and clear instructions

By 李金戈

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Nov 10, 2021

Great course to learn TensorFlow 2

By Nguyễn V T

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Apr 4, 2021

Good course with clear explanation

By D J V

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Apr 13, 2022

Very beneficial.Rich in contents

By 강스팸

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Oct 5, 2021

Fairly good course for beginner

By Szymon Z

•

May 17, 2023

Very good and deep explanation

By M. A A

•

Feb 11, 2021

Great Experience. Learn a lot.

By victor a a v

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Feb 24, 2023

simple and practical. 10/10

By Đạt N

•

Nov 10, 2022

Thanks for your lectures.

By NABHAN T Y

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Jul 9, 2021

it was a very good course

By Dimuthu K J T

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Feb 13, 2021

An Extremely Good Course

By Carlos C

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Mar 7, 2021

muy didáctico, gracias.

By Olexander A

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Aug 25, 2021

Great course! Thanks

By Nguyễn N N F

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Jul 12, 2021

very usefull for me

By Parma R R

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Feb 11, 2022

Very good course!

By Aleksandr S

•

Jan 28, 2021

Excellent Course!

By Rubén G C

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Jan 6, 2022

Very nice course

By Linzhi X

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Jun 4, 2021

PRETTY HELPFUL!!

By Abhishek P

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Mar 3, 2021

Excellent course

By CARLOS A L F

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Aug 19, 2022

Great course!!!

By Hassan S

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Aug 28, 2024

Amazing course