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Вернуться к Building Deep Learning Models with TensorFlow

Отзывы учащихся о курсе Building Deep Learning Models with TensorFlow от партнера IBM Skills Network

Оценки: 656

О курсе

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....

Лучшие рецензии


2 июля 2020 г.

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!


26 мая 2020 г.

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

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26–50 из 139 отзывов о курсе Building Deep Learning Models with TensorFlow

автор: Messai O

19 июля 2020 г.

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

автор: Ravi P B

19 мая 2020 г.

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

автор: CARLOS S

10 февр. 2020 г.

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

автор: 許方瑜

10 июля 2020 г.

Very concise introductions on several deep learning models and applications!

автор: Leandro M

29 авг. 2020 г.

Excelent course, very didactic and very complete and detailed labs

автор: Adryan R A

27 июня 2021 г.

Amazing material for learner even with no experience beforehand

автор: Lee Y Y

9 февр. 2020 г.

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

автор: Ali A

31 июля 2020 г.

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

автор: A S R

9 мая 2020 г.

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

автор: 석박통합김한준

7 мар. 2020 г.

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

автор: Lawan I

13 апр. 2022 г.

The course is amazing, the instructors are professionals.

автор: Shivam K

2 февр. 2022 г.

Good course to know about neural networks with tensorflow

автор: Thar H S

1 мар. 2020 г.

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

автор: Farhad A

18 апр. 2020 г.

Thank you for your generosity to share your knowledge

автор: Abdullaev S

1 апр. 2021 г.

Thanks for opportunity! This course is very helpful!

автор: Medha J

8 июля 2022 г.

gives best knowledge about tensors and autoencoders

автор: 林靖翰

31 июля 2021 г.

The teaching of this course is clear and complete

автор: Vivian L

7 мая 2020 г.

Amazing Course! Simple and distinct explanation!

автор: Osvaldo T

17 авг. 2021 г.

tthe ourse is very usefull and explained

автор: Xin H

3 июня 2020 г.

practical course with easy math methods

автор: Krish g

3 июня 2020 г.

Fabulous course , easily understandable

автор: MD. S I

31 авг. 2020 г.

Please upgrade to Tensor Flow 2.0

автор: Wess H

8 июня 2020 г.

Good and well explained course !

автор: Timi K

20 июля 2020 г.

Thank you! I enjoyed the course

автор: Russell C

18 февр. 2022 г.

Excellent hands-on learning!