Chevron Left
Volver a Custom Models, Layers, and Loss Functions with TensorFlow

Opiniones y comentarios de aprendices correspondientes a Custom Models, Layers, and Loss Functions with TensorFlow por parte de deeplearning.ai

4.9
estrellas
733 calificaciones

Acerca del Curso

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....

Principales reseñas

PK

3 de feb. de 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

24 de nov. de 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.

Filtrar por:

51 - 75 de 163 revisiones para Custom Models, Layers, and Loss Functions with TensorFlow

por Ayobami A

26 de may. de 2022

Great course with great contents. This course gave me a deep understanding of how things work under the hood in Tensorflow. I'll recommend this course for anyone trying to build deep learning models from scratch in TensorFlow

por Петр В

12 de feb. de 2021

Lots of very valuable TensorFlow materials to launch an advanced project and have more control over the models, layers, loss functions and callbacks. Exactly what you need to improve your skills in a short period of time.

por Boels M

15 de abr. de 2021

Very well explained and structured course. You will learn to write advanced and object-oriented programming code using the latest TensorFlow techniques for building flexible neural networks architectures.

por Nileshchandra P

4 de feb. de 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.

por Diego A F S

30 de mar. de 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.

por Pramit D

14 de ene. de 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.

por Magda

10 de ago. de 2021

This course consists of good explanations and coding exercises. followed by not overly demanding practical assignments. It is informative and opens the world of Tensorflow models customization.

por Alireza M

30 de jul. de 2022

It was a very useful course. Now I can build deep learning models with my desired architecture. I am also able to understand the implementation method of famous models like VGG-16.

por Jonas K

3 de feb. de 2021

It would be very nice if you were able to go from one fullscreen video to the next.

As it is right now it requires 3 clicks to just resume, that could easily be done with one click.

por Sadaf

14 de feb. de 2022

1​. Course labs are well designed

2​. Material covers real world problems

3​. Course is well designed

4​. Instructors are very good in the subject

5​. Teaching method is good

por quyet t

30 de ago. de 2021

extremely detailed course on how to use API functions, I found that the weeks in which week 1 is the most difficult with homework the following weeks they are too simple

por Stephen N

1 de abr. de 2021

For a newbie in tensorflow, this course gave me the tool to custom the model. Compared to the previous specification "Tensorflow Developer", it is much more better

por Luigi S

11 de abr. de 2021

It was a very good course, very clearly explained. The rhythm was not so high and I enjoyed the chance to go step by step going in deep in important concepts.

por Akhil M

20 de ene. de 2021

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

por Parisa P

17 de feb. de 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!

por Diego O S

20 de mar. de 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.

por Tan C M

19 de feb. de 2022

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

por Merlin S

7 de jul. de 2021

T​his 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.

por Thomas N

6 de jun. de 2021

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

por Tung N

21 de mar. de 2021

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

por Yaroslav K

25 de ene. de 2021

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

por Tamim A

9 de jun. de 2022

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

por Fahmi J

2 de feb. de 2021

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

por Himasha J

13 de oct. de 2021

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

por Alysson M D O B

2 de jul. de 2021

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