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Volver a Custom Models, Layers, and Loss Functions with TensorFlow

Opiniones y comentarios de aprendices correspondientes a Custom Models, Layers, and Loss Functions with TensorFlow por parte de

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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....

Principales reseñas


3 de feb. de 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.


24 de nov. de 2020

Really great course, it teaches you all about the TF API and how to customize it for your needs, i thought only pytorch can make that as it's really pythonic, but i am a nieve noob what can i say.

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101 - 125 de 162 revisiones para Custom Models, Layers, and Loss Functions with TensorFlow

por Martin T

20 de feb. de 2022

Muy buen curso sumamente contento de haber lo realizado!

por Muhammad A

13 de jul. de 2021

Excellent Content and Easy to learn even advance things

por Mala C

25 de feb. de 2021

thanks, simplified and explained concepts very well.

por Ed H N C

23 de ene. de 2021

Not an easy course to take but worth to relearning .

por Yingding W

11 de abr. de 2021

Very great and up-to-date tensorflow 2.x content

por Raziel Z R

23 de feb. de 2021

I must admit that it's better than I can imagine

por anand r

17 de feb. de 2021

excelllent course to understand tensorflow api

por Amit M

30 de jun. de 2021

Shows the ease of developing custom models.

por Rinki A

7 de jun. de 2021

Very helpful, loved it!! Amazing Course!!

por Kenneth N

27 de jun. de 2022

Exceptional and clear instructions

por 李敬鑫

10 de nov. de 2021

Great course to learn TensorFlow 2

por Nguyễn V T

4 de abr. de 2021

Good course with clear explanation

por D J V

13 de abr. de 2022

V​ery beneficial.Rich in contents

por vage s

5 de oct. de 2021

F​airly good course for beginner

por M. A A

11 de feb. de 2021

Great Experience. Learn a lot.


9 de jul. de 2021

it was a very good course

por Dimuthu L

13 de feb. de 2021

An Extremely Good Course

por Carlos C G

7 de mar. de 2021

muy didáctico, gracias.

por Alexander A

25 de ago. de 2021

Great course! Thanks

por Nguyễn N N F

12 de jul. de 2021

very usefull for me

por Parma R R

11 de feb. de 2022

V​ery good course!

por Aleksandr S

28 de ene. de 2021

Excellent Course!

por Ruben G C

6 de ene. de 2022

Very nice course

por Linzhi X

4 de jun. de 2021


por Abhishek P

3 de mar. de 2021

Excellent course