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Retour à Custom Models, Layers, and Loss Functions with TensorFlow

Avis et commentaires pour d'étudiants pour Custom Models, Layers, and Loss Functions with TensorFlow par deeplearning.ai

4.9
étoiles
733 évaluations

À propos du cours

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....

Meilleurs avis

PK

3 févr. 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.

MS

24 nov. 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 sur 162 Avis pour Custom Models, Layers, and Loss Functions with TensorFlow

par Martin T

20 févr. 2022

Muy buen curso sumamente contento de haber lo realizado!

par Muhammad A

13 juil. 2021

Excellent Content and Easy to learn even advance things

par Mala C

25 févr. 2021

thanks, simplified and explained concepts very well.

par Ed H N C

23 janv. 2021

Not an easy course to take but worth to relearning .

par Yingding W

11 avr. 2021

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

par Raziel Z R

23 févr. 2021

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

par anand r

17 févr. 2021

excelllent course to understand tensorflow api

par Amit M

30 juin 2021

Shows the ease of developing custom models.

par Rinki A

7 juin 2021

Very helpful, loved it!! Amazing Course!!

par Kenneth N

27 juin 2022

Exceptional and clear instructions

par 李敬鑫

10 nov. 2021

Great course to learn TensorFlow 2

par Nguyễn V T

4 avr. 2021

Good course with clear explanation

par D J V

13 avr. 2022

V​ery beneficial.Rich in contents

par vage s

5 oct. 2021

F​airly good course for beginner

par M. A A

11 févr. 2021

Great Experience. Learn a lot.

par NABHAN T Y

9 juil. 2021

it was a very good course

par Dimuthu L

13 févr. 2021

An Extremely Good Course

par Carlos C G

7 mars 2021

muy didáctico, gracias.

par Alexander A

25 août 2021

Great course! Thanks

par Nguyễn N N F

12 juil. 2021

very usefull for me

par Parma R R

11 févr. 2022

V​ery good course!

par Aleksandr S

28 janv. 2021

Excellent Course!

par Ruben G C

6 janv. 2022

Very nice course

par Linzhi X

4 juin 2021

PRETTY HELPFUL!!

par Abhishek P

3 mars 2021

Excellent course