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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
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.

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76 - 100 of 211 Reviews for Custom Models, Layers, and Loss Functions with TensorFlow

By Akhil M

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Jan 20, 2021

Best code explanations. Any beginner in TensorFlow/deep learning can follow this course. Bits and bytes of TensorFlow Functional API have explained.

By Parisa P

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Feb 17, 2022

If you are looking for simple and clear explanations of complicated tensorflow topics with some hands on coding, this is the right course for you!

By Diego O S

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Mar 20, 2021

The course is exceptional but I'll rather see more exercises for the students, just like common mathematics books have exercises at the end of it.

By Chong M T

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Feb 19, 2022

An excellent course to apply custom functionality on top of the quick and easy Keras infrastructure within TensorFlow. Highly recommend!

By Merlin S (

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Jul 7, 2021

This doesn't feel to advanced, but its a nicely prepared course. I would like to have found this when I was getting into Tensorflow 2.

By Devon M

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Jun 17, 2023

It was challenging but provided a wealth of information in a variety of formats. The code walk-throughs were particularly helpful.

By Raimond L

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Aug 20, 2023

Very nice course. If you want to dig a bit deeper into the tools and make your life easier building models, then give it a try.

By Thomas N

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Jun 6, 2021

Very useful content, labs help to understand concepts and I have started using stuff I learned about custom models in my work.

By jahidul i

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Feb 25, 2024

The course is great, just do not take too much time. If you know the basics of TensorFlow this should take max about 9 days.

By Tung N

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Mar 21, 2021

The instructors did e great job of explaining tensorflow advanced concepts as well as making the assignments simple to follow

By Levi K

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Oct 13, 2022

The perfect amount of explanation, examples and hands-on learning to quickly get you applying TF on your own use cases.

By Yaroslav K

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Jan 25, 2021

This is the first course in the Tensorflow series which brings something more than basics from open-source tutorials.

By Rustem Z

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Oct 14, 2023

Top notch teaching with great material and methodology! Happy to be a part of Deep Learners! Keep up the great work!

By Tamim A

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Jun 9, 2022

Excellent course. Helped me to understand deep learning but it needs to add some clear class on model customization.

By Abhinav S

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Oct 16, 2022

Great course! Helps learn tensoflow to the next level of customizing various componenets and optimization.

By Fahmi J

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Feb 2, 2021

Awesome courses, expanding the horizon of using TensorFlow for creating model, customizing, etc... Great!

By Himasha J

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Oct 13, 2021

Great course learned many new concepts on modeling , loss functions , model class . Highly recommended .

By Alysson M D O B

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Jul 2, 2021

Amazing course. The knowledge I gained from completing it will be crucial for my next research projects!

By Saadat U K

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Apr 27, 2023

Excellent course to help you advance your career in the field of AI\ML. Easy to understand and follow.

By Manjunath S

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May 21, 2021

Excellent Course! A good add on for people who have completed TensorFlow in Practice Specialisation.

By Nikolay S

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Feb 28, 2021

This course was fantastic! Laurence and DeepLearning.ai team did great job. Definitely recommended.

By Akshay K

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Dec 28, 2021

The courses are really helpful in understanding the basics of how to build custom things with TF.

By Deleted A

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Jun 29, 2021

very useful to implement our custom networks. Thanks for clear explanation and tangible examples

By Sharath K

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Mar 18, 2023

Excellent and to-the-point instructor. The weekly labs were terrific too and I learned a lot :)

By Gonzalo G N

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Feb 19, 2021

Excelent information really interesting and helpful for developing my projects with Tensorflow!