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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
629 évaluations
132 avis

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.

DS
29 mars 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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101 - 125 sur 136 Avis pour Custom Models, Layers, and Loss Functions with TensorFlow

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 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

par Yash S

7 mai 2021

Awesome Course

par Jorge S

29 mars 2021

Great Course !

par 19020489 N H V

13 sept. 2021

good tutorial

par Alexander Z

18 janv. 2021

Thanks a lot!

par Hoang D

19 nov. 2021

very helpful

par Farhad A

29 juil. 2021

Really Nice!

par Md. F I

25 mars 2021

Fine course.

par Socrates M

2 mars 2021

10 out of 10

par Hùng B Q

18 sept. 2021

nice course

par phát t

26 juil. 2021

fantastic!

par Javier B

6 juil. 2021

very nice

par بشار ا

16 mars 2021

Legendary

par Ariel H

11 juil. 2021

L​ove it

par Mogilevskii K

22 mai 2021

Concise

par omid S

27 mars 2021

perfect

par Ariz M

31 juil. 2021

Great!

par Chamika G

13 août 2021

Best

par Ignacio L

9 avr. 2021

GREAT ONE. You will be getting better in some things thanks to this course, like object encapsulation , remembering fowar and back prop etc. I still want more freedom trying to use this tools in a challenging way. Like Kaggle does. Its too much info to get it right and know one is worth using. I woudnt change what there is, but I would add a final lab with a more open ended result.