Chevron Left
Back to Custom Models, Layers, and Loss Functions with TensorFlow

Learner Reviews & Feedback for Custom Models, Layers, and Loss Functions with TensorFlow by DeepLearning.AI

4.9
stars
974 ratings

About the Course

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....

Top reviews

NP

Feb 3, 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

Nov 24, 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.

Filter by:

126 - 150 of 211 Reviews for Custom Models, Layers, and Loss Functions with TensorFlow

By Cathay D

Apr 6, 2022

Learning Points:

- create custom layers, loss functions, callbacks

By Anushka N

Sep 3, 2023

Great course to level up from basic TF models to customization!

By Dina L

Apr 25, 2021

Well and Clear Organised content and very friendly guided labs.

By Abdeldjalil S

Feb 26, 2022

Mr Laurence is the best he develops my programmation skills

By Luiz d

Mar 8, 2023

Very useful topics about advanced deep networks modelling

By Martin T

Feb 20, 2022

Muy buen curso sumamente contento de haber lo realizado!

By Sandeepa K

Jan 14, 2023

valuable course to get some deep insights to tensorflow

By Muhammad A

Jul 13, 2021

Excellent Content and Easy to learn even advance things

By Mala C

Feb 25, 2021

thanks, simplified and explained concepts very well.

By Ed H C

Jan 23, 2021

Not an easy course to take but worth to relearning .

By Nam T T

Jun 9, 2023

the course is very detailed and easy to understand

By Yingding W

Apr 11, 2021

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

By Raziel Z R

Feb 23, 2021

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

By Pablo S

Dec 17, 2023

full of great ideas and tips, great instructor

By anand r

Feb 17, 2021

excelllent course to understand tensorflow api

By Amit M

Jun 30, 2021

Shows the ease of developing custom models.

By Mustafa J F

Aug 13, 2023

Excellent course for tensorflow developer

By Rinki A

Jun 7, 2021

Very helpful, loved it!! Amazing Course!!

By Ronny M

Sep 17, 2022

Great course on Tensorflow with Keras!

By Gordon R

Sep 14, 2023

Another great course from Lawrence :)

By 江祖榮

Apr 8, 2023

Greatest tensorflow on the ground.

By Kenneth N

Jun 27, 2022

Exceptional and clear instructions

By 李金戈

Nov 10, 2021

Great course to learn TensorFlow 2

By Nguyễn V T

Apr 4, 2021

Good course with clear explanation

By D J V

Apr 13, 2022

Very beneficial.Rich in contents