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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

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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.

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76 - 100 de 163 revisiones para Custom Models, Layers, and Loss Functions with TensorFlow

por Manjunath S

21 de may. de 2021

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

por Nikolay S

28 de feb. de 2021

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

por Akshay K

28 de dic. de 2021

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

por Shiva S B

29 de jun. de 2021

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

por Gonzalo G N

19 de feb. de 2021

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

por Abdelrhman y a m

9 de oct. de 2021

f​antastic Course Teach you How u can use TensorFlow and Keras with Professional way so thanks

por Nancy S

31 de dic. de 2021

This course is super concise and useful. I've never thought Tensorflow can be such flexible!

por Rajendra A

14 de jul. de 2021

Excellent course content, videos, labs and assignment with clear instructions or guidelines.

por Yongji W

18 de ene. de 2022

T​his course is extrememly helpful to help me learn building custom model and layers

por sina c

7 de dic. de 2021

Very well design, easy to follow and with great depth of knowledge. Fantastic work!

por Vaibhav B

5 de jun. de 2021

A​n amazing course! a deep understanding into customising layers,losses and models.

por Lois A L

12 de feb. de 2021

Insightful. I like the built-up of the concepts and how the course was structured.

por Liu Y

17 de feb. de 2021

good enough but can be more complex, week 5 is a little bit useless in my view.

por Yagna G

7 de abr. de 2022

Very useful for building our own network architectures specific to our purpose

por Anselmo M O

15 de ago. de 2021

C​urso Fantástico, mescla muito bem a parte pratica com a teórica. Parabéns!

por Mojtaba A

14 de ago. de 2022

What a mastered lecturer is Laurence! Good luck for him and Coursera team

por Jacek B

4 de may. de 2022

Very nice overview that helps with fast start of some TensorFlow features

por Rajul A

1 de jun. de 2021

E​xtremely succint but yet had so many hidden gems explained very well.

por Francesco F

2 de mar. de 2022

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

por Duc A L

14 de mar. de 2021

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

por Leah P

21 de feb. de 2021

Advanced technique explained very easy way. Very informative course

por Amir K

25 de jun. de 2022

very excellent and effective and applicable

teacher tech very well

por Vine N

24 de ene. de 2022

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

por Cathay D

6 de abr. de 2022

Learning Points:

- create custom layers, loss functions, callbacks

por Dina L

25 de abr. de 2021

Well and Clear Organised content and very friendly guided labs.