Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by DeepLearning.AI
About the Course
Top reviews
AK
Jun 4, 2020
Laurence Moroney is the best. Before taking up the course, i didnt know anything about the AI or ML or Tensorflow. The concepts were explained in such a manner that anyone can learn Tensorflow.
TM
Oct 5, 2020
Excellent and detailed on how to create a convolutional neural network using TensorFlow as well as explaining how to solve problems such as low accuracy, overfitting and even improving the dataset.
951 - 975 of 1,269 Reviews for Convolutional Neural Networks in TensorFlow
By Nikos R
•Oct 19, 2020
Very good course to get you started on convolutional neural networks. Week two had a small problem with the programming assignment.
By Brian ( B
•Oct 23, 2019
very practical courses on implementation of CNN in tensorflow. Suggest student also take the deeplearning series with this series.
By Revant T
•May 20, 2020
Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.
By Hang N
•Feb 26, 2020
This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.
By Parikshit N
•Jul 12, 2021
Good content and Lawrences technique was great. But it took a bit longer where assistance was required during assignments.
By Przemysław D
•Sep 27, 2019
Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.
By Kaustubh H
•Jan 2, 2023
The Course is amazing , But the voice of the instructor is bit low ,I would suggest to improve the loudness of the voice.
By Aria N
•Aug 23, 2022
Some of the preprocessing required during the excersize were really tough. It'd be helpful if I got a little more hints.
By Balaji K
•Aug 7, 2020
Short, crisp and to-the-point discussions... Complex practice exercises designed as easy ones for learners. Well done !
By Bhabani D
•Jan 5, 2020
Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.
By Ricardo F
•Mar 31, 2020
Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!
By Benjamin S
•Oct 12, 2020
A lot of learning material to digest but at the the end of the course you really have the feeling you've progressed.
By Ibrahim M
•May 6, 2021
Programming assignments need a little more comments and illustration to save more time. But it still amazing course
By Wiput T
•Jul 29, 2020
It the great course and good explainataion. Tensorflow 2.0 is quite good for quick development tool for AIT project
By Brian D O
•Mar 11, 2021
The lectures are great but some of the programming assignments deviate from the code taught and lack guidance.
By Josian Q
•May 1, 2020
Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.
By Jaap d V
•Mar 11, 2020
Thank for a great course. Please make the code samples it work for TF2.X the TF1.X has run out of shelf life
By Kevin H
•Apr 12, 2020
End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.
By Carlos D R
•Feb 14, 2020
Es una gran continuación al curso anterior. No se puede hacer sin haber hecho previamente el otro curso
By Arpit G
•Jan 7, 2021
Good and clear explanation of the basic concepts . But assignements quality can be certainly improved.
By Dr. P P
•Dec 19, 2019
Course is good to start but it should include other aspects of neural network than image processing.
By Muhammad A B
•Oct 18, 2020
This was hard, but I feel like I'm getting the hang of it. First course now feels awfully easy lol!
By Yeo L K
•Oct 18, 2020
A little too simple, would appreciate a deeper dive into the classes and methods of the tf library.
By ERIC W D S
•Jul 21, 2020
This rate refers to my global opinion. I had some trouble in the third week project send. Thanks.
By Sai S V K
•Jun 28, 2020
Assignments could be a little more tedious. Over all explanation of content in the course is good