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Avis et commentaires pour d'étudiants pour Introduction to Deep Learning & Neural Networks with Keras par IBM

4.7
étoiles
728 évaluations
142 avis

À propos du cours

Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library. After completing this course, learners will be able to: • describe what a neural network is, what a deep learning model is, and the difference between them. • demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. • demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. • build deep learning models and networks using the Keras library....

Meilleurs avis

AB

Mar 16, 2020

Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.

MC

Feb 20, 2020

Best suited for beginner in Deep learning with Keras. Good content, hands on experience with Jupiter notebook with IBM Developer tool. Worked Exercise code for CNN & RNN.

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126 - 142 sur 142 Avis pour Introduction to Deep Learning & Neural Networks with Keras

par TJ G

Jan 11, 2020

Great starter. Could do with more practice labs.

par Medet M

Jul 30, 2020

Seems very easy course. Good for beginners.

par Peter N P B

Feb 07, 2020

a bit easy but well put together material

par UNMILON P

Jun 06, 2020

Basic course but best to start for Keras

par Cristina A G

Feb 20, 2020

Clear, easy to follow

par Sarath C G K

Apr 23, 2020

Good Assignments,

par Suman k s

May 13, 2020

Fantastic

par Hamza A I

Mar 03, 2020

The course content is very brief not much for getting a better understanding of topics. It can be a good starting course for someone but if you are interested in getting details of topics I recommend taking the courses of deeplearning.ai

par Tony D

Jul 29, 2020

Very light. The current material requires much less time to finish than annoucned at the beginning of the course. The teacher could have hence taken some time to go more into details, even though it's an introduction course

par Pietro D

Jan 03, 2020

The course was very elementary and brief but well organized. Week 4 (supervised and unsupervised models) is definitely too short to grasp the ideas behind the different designs.

par Somak C

Jun 25, 2020

The topic explanations are pretty rushed for beginners. The assignment has been unnecessarily added with lots of iterations that created issues with debugging and testing.

par Jorge R C R

Apr 20, 2020

Good introductory course, just scratches the surface. What I did not like is that the instructor just reads the content for you. Could be improved.

par Simone P

Oct 03, 2019

It seems more a review of concepts that you need to have already have studied on other courses/books than a real introduction.

par Suresh C

Nov 05, 2019

These course is just for Introduction in Neural Network and Keras

par ANGEL G C

Apr 19, 2020

The course is OK in the overall. But it has two main drawbacks from my point of view:

1) The final assignments asks for solving the task making use of routines NOT shown along the course: i.e. it's shown in the labs to solve issues in a way, and in the assignment it has to be done in a different one.

2) It was IMPOSSIBLE for me to get feedback from the Staff at any question. I ended up solving the issues by my own and through try and error, which is fine from a self-study approach, but when it comes to technical issues, it can get quite complicated...

par jbene m

Apr 01, 2020

Very Basic

par Julio T

Mar 09, 2020

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