Chevron Left
Volver a Building Deep Learning Models with TensorFlow

Opiniones y comentarios de aprendices correspondientes a Building Deep Learning Models with TensorFlow por parte de IBM

4.4
estrellas
561 calificaciones
115 reseña

Acerca del 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....

Principales reseñas

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 may. 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 115 revisiones para Building Deep Learning Models with TensorFlow

por Ravi P B

19 de may. de 2020

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

por CARLOS S

10 de feb. 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 feb. 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 may. 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 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 Ching H L

31 de jul. de 2021

The teaching of this course is clear and complete

por Vivian L

7 de may. de 2020

Amazing Course! Simple and distinct explanation!

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 Mohd N K

27 de may. de 2020

very clearly explained

por M M A

7 de jul. de 2020

Really a good course

por Vivek K G

26 de jul. de 2020

Good Course Content

por Mel A

16 de jul. de 2020

Intuitive hands-on.

por CHALLA K S N M S

21 de sep. de 2020

awesome course

por Mateus R

17 de jun. de 2020

Great course!!