Chevron Left
Voltar para Building Deep Learning Models with TensorFlow

Comentários e feedback de alunos de Building Deep Learning Models with TensorFlow da instituição IBM Skills Network

4.4
estrelas
657 classificações

Sobre o curso

The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. Learning Outcomes: After completing this course, learners will be able to: • explain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines. • describe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. • understand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. • apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained....

Melhores avaliações

ZR

2 de jul de 2020

Deep Learning made me feel that there is a way to build models and classify data so easily and in a skillful way. Amazing course!

DO

26 de mai de 2020

Not so often i wish a course would be longer and more in depth I really enjoyed using TF I'll look some other courses about it

Filtrar por:

26 — 50 de 140 Avaliações para o Building Deep Learning Models with TensorFlow

por Messai O

19 de jul de 2020

I would like to thank the lecturer for this fruitful course. I have enjoyed it, Thanks a lot!

por Ravi P B

19 de mai de 2020

Excellent course to get started with tensorflow and deep learning.Really enjoyed the course.

por CARLOS S

10 de fev de 2020

It's a great opportunity to really learn about Deep Learning with Tensorflow!

por 許方瑜

10 de jul de 2020

Very concise introductions on several deep learning models and applications!

por Leandro M

29 de ago de 2020

Excelent course, very didactic and very complete and detailed labs

por Adryan R A

27 de jun de 2021

Amazing material for learner even with no experience beforehand

por Lee Y Y

9 de fev de 2020

Simple and easy-to-follow course for a hard-core python package

por Ali A

31 de jul de 2020

You need a good basic python to understand for this course.

por A S R

9 de mai de 2020

Super course for getting an overview of DNN. Thank you all.

por 석박통합김한준

7 de mar de 2020

Excellent lecture. i have learned so many stuff. Thank you!

por Lawan I

13 de abr de 2022

The course is amazing, the instructors are professionals.

por Shivam K

2 de fev de 2022

Good course to know about neural networks with tensorflow

por Thar H S

1 de mar de 2020

Thank a lot for this course! It quick and really useful.

por Farhad A

18 de abr de 2020

Thank you for your generosity to share your knowledge

por Abdullaev S

1 de abr de 2021

Thanks for opportunity! This course is very helpful!

por Medha J

8 de jul de 2022

gives best knowledge about tensors and autoencoders

por 林靖翰

31 de jul de 2021

The teaching of this course is clear and complete

por Vivian L

7 de mai de 2020

Amazing Course! Simple and distinct explanation!

por Osvaldo T

17 de ago de 2021

tthe ourse is very usefull and explained

por Xin H

3 de jun de 2020

practical course with easy math methods

por Krish g

3 de jun de 2020

Fabulous course , easily understandable

por MD. S I

31 de ago de 2020

Please upgrade to Tensor Flow 2.0

por Wess H

8 de jun de 2020

Good and well explained course !

por Timi K

20 de jul de 2020

Thank you! I enjoyed the course

por Russell C

18 de fev de 2022

Excellent hands-on learning!