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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
985 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.

DS

Mar 29, 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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201 - 212 of 212 Reviews for Custom Models, Layers, and Loss Functions with TensorFlow

By Nakshatra G

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Mar 30, 2022

A little tedious course but overall a great one. I think after going through code some more times the concepts will seem fairly easy.

By Baburam C

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Jun 9, 2023

excellent and comprehensive course with enough examples to understand the concepts

By David R

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May 3, 2021

some good stuff, but too short and pretty easy

By Danial Z

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Oct 12, 2023

Some material links were inaccessible

By Jacky T

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Jan 17, 2021

Very nice course!

By Deleted A

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Sep 11, 2021

good course

By Xứng B

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May 1, 2023

good

By José L

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Apr 15, 2021

The content is very clearly presented, but is very easy. Also miss a real-world challenging application exercise. All in all, too short, too easy for an "intermediate" level course.

By 周昊轩

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Apr 20, 2024

For the last graded assignment, just keep the first and last layer. Otherwise, there will be a time off error

By Federico C

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Nov 3, 2021

An interesting perspective, but the assignements modalities are a bit too easy.

By Ann A

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Jan 5, 2021

Simple course. A very simple course. Too simple course. There are very few practical works and they are too simple. There is almost no description of the features of the application of certain techniques. I am disappointed

By Varun S

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Dec 30, 2020

Libraries are not explained properly, looks like its just code walkthrough,