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

634 évaluations
133 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

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.

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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76 - 100 sur 137 Avis pour Custom Models, Layers, and Loss Functions with TensorFlow

par Rajendra A

14 juil. 2021

Excellent course content, videos, labs and assignment with clear instructions or guidelines.

par Yongji W

18 janv. 2022

T​his course is extrememly helpful to help me learn building custom model and layers

par sina c

7 déc. 2021

Very well design, easy to follow and with great depth of knowledge. Fantastic work!

par Vaibhav B

5 juin 2021

A​n amazing course! a deep understanding into customising layers,losses and models.

par Lois A L

12 févr. 2021

Insightful. I like the built-up of the concepts and how the course was structured.

par Liu Y

17 févr. 2021

good enough but can be more complex, week 5 is a little bit useless in my view.

par Anselmo M O

15 août 2021

C​urso Fantástico, mescla muito bem a parte pratica com a teórica. Parabéns!

par Rajul A

1 juin 2021

E​xtremely succint but yet had so many hidden gems explained very well.

par Duc A L

14 mars 2021

After course, I can create your own custom model from research paper

par Tasnim F D

21 févr. 2021

Advanced technique explained very easy way. Very informative course

par Vine N

24 janv. 2022

It is a great course, easy to follow through and so much to learn!

par Dina L

25 avr. 2021

Well and Clear Organised content and very friendly guided labs.

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

7 juin 2021

Very helpful, loved it!! Amazing Course!!

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 강스팸

5 oct. 2021

F​airly good course for beginner

par M. A A

11 févr. 2021

Great Experience. Learn a lot.


9 juil. 2021

it was a very good course