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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

830 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


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.


14 janv. 2021

Wow! What a course it is! Amazing. Thanks to DeepLearningAi and Laurence for this course. But the mentors should be more active in the discussion forum. Not everyone is not comfortable with slack.

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101 - 125 sur 180 Avis pour Custom Models, Layers, and Loss Functions with TensorFlow

par Rajul A

1 juin 2021

Extremely succint but yet had so many hidden gems explained very well.

par Francesco F

2 mars 2022

Very useful topics explained in a clear, complete, and rigourous way.

par Duc A L

14 mars 2021

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

par Leah P

21 févr. 2021

Advanced technique explained very easy way. Very informative course

par Amir K

25 juin 2022

very excellent and effective and applicable

teacher tech very well

par Vine N

24 janv. 2022

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

par liangyi

4 déc. 2022

Thank you course team, you have helped many people in the world !

par Victor D

25 août 2022

Great classes teaching the step out of the basics with Tensorflow

par Cathay D

6 avr. 2022

Learning Points:

- create custom layers, loss functions, callbacks

par Dina L

25 avr. 2021

Well and Clear Organised content and very friendly guided labs.

par Abdeldjalil S

26 févr. 2022

Mr Laurence is the best he develops my programmation skills

par Martin T

20 févr. 2022

Muy buen curso sumamente contento de haber lo realizado!

par Sandeepa K

14 janv. 2023

valuable course to get some deep insights to tensorflow

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 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.


7 juin 2021

Very helpful, loved it!! Amazing Course!!

par Ronny M

17 sept. 2022

Great course on Tensorflow with Keras!

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