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

445 calificaciones
92 revisiones

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 revisiones


Jul 03, 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!


May 27, 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 94 revisiones para Building Deep Learning Models with TensorFlow

por Lee Y Y

Feb 09, 2020

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

por Ali A

Jul 31, 2020

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

por A S R

May 09, 2020

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

por Han-June K

Mar 07, 2020

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

por Thar H S

Mar 02, 2020

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

por Farhad A

Apr 18, 2020

Thank you for your generosity to share your knowledge

por Vivian L

May 07, 2020

Amazing Course! Simple and distinct explanation!

por Xin H

Jun 04, 2020

practical course with easy math methods

por Krish g

Jun 03, 2020

Fabulous course , easily understandable

por Wessikè H

Jun 08, 2020

Good and well explained course !

por Timi K

Jul 20, 2020

Thank you! I enjoyed the course

por Mohd N K

May 27, 2020

very clearly explained

por M M A

Jul 07, 2020

Really a good course

por Vivek K G

Jul 26, 2020

Good Course Content

por Mel A

Jul 17, 2020

Intuitive hands-on.

por Mateus R B

Jun 17, 2020

Great course!!

por Julien V

Jun 03, 2020

Great course !

por Branly L

Apr 27, 2020

Very Good..!!

por Samira G

Jun 01, 2020

Love it....

por Krishna H

Apr 27, 2020


por A A A

Jul 07, 2020

The instructor Saeed Aghabozorgi did an excellent job in explaining the concepts in a way everything can be understood easily. However, I still think 5 weeks is not enough for this course, given TensorFlow is more difficult to learn than PyTorch. The basics could be covered in more detail, including the tf.get_variable(), tf.gradient(), calculating gradients and other functions that were used. There could be a lecture for Linear Regression and Logistic Regression and these 2 could be moved to a separate week instead. Also, please upgrade the code to work on TensorFlow 2.1. The current code designed for TensorFlow 1.8 didn't work especially the part where datasets are to be loaded.

por Michael S

Mar 26, 2020

Very interesting material, and easy to follow along. The notebooks are a great resource. I am glad to have been introduced to these concepts. However, I felt this course was too easy and it did not encourage the student to complete projects or any independent work. In any case, this course was worth taking.

por James R

Dec 22, 2019

I liked the course; however, there was no sound or transcripts for the last week of the course. This required me to research all the topics that I saw on the screen. Still a good learning experience but put more responsibility on me to learn the topics.

por Julien P

Jun 18, 2020

Excellent notebooks. I don't give 5 stars because the quality of videos could be improved and the quizzes could be made tougher. It is easy to pass the class with a superficial understanding of concepts.


Jul 26, 2020

Nice course to introduce you to more advanced neural network algorithms, I wish the evaluations were more challenging and based on practical exercises... there is no final assignment either.