OS
Jan 25, 2023
I really liked the course. It was well explained and very interactive. I would like to continue the rest of the courses in the course if you allow me. Thank you. The course has been of great use to me
SM
Jul 8, 2022
The guidance provided in this course including the course content is exceptional. Mixing programming with explanation of underlying mathematics and terms was truly helpful. Kudos to the entire team.
By Dan G
•Apr 20, 2020
The exercises are very repetitive and basically just copies of the notebooks in the course. There is no thinking required for this course. The material is very shallow.
By 18R11A04F1 C B
•Jun 11, 2021
not to bad mouth, but this course is good yet being a beginner I don't suggest it as most of the code here is taught like alphabet that has purpose but no sense
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By Laha A
•May 10, 2019
I would say it is a introduction to Keras rather than Tensorflow. The course not really touch tensorflow, it all about the high level API which is Keras in TF.
By Maharshi R
•Sep 8, 2021
The grader is very buggy. Coded a 1-Conv2d & 1-MaxPool model and caused the grader to run out of memory. However, a more complicated model passes the solution.
By Mohammed E
•Apr 15, 2020
the notebooks have a poor explanation of what should be done and unless you delete the last two cells every time you won't be able to submit
By ELLEUCH H
•Jan 1, 2022
While useful, the experience with submitting the assignements was really inferior to what I'm used to with Coursera and DeepLearning.AI
By Prantik R
•Feb 18, 2021
This course needs to be more beginner friendly....it directly jumps to advanced concepts without clearing the intermediates
By Matthew R
•Dec 13, 2020
Really superficial overview of tensorflow and deep learning. Very few concepts were explained in any real depth.
By Suraj R
•Jul 18, 2019
Resources shown in the video were not included as web links, so the course couldn't be completed
By Rudrani G
•Aug 25, 2019
A little too complex for beginners. Content must be explained from a novice point of view
By John M
•Jul 5, 2020
Some reading exercises had missing links and some code used a deprecated function.
By Gautam K
•Jan 16, 2022
Not a great experience with the assignments, especially the last one.
By Malmansoori
•Jul 14, 2019
This course teach how to use Keras more than using Tensorflow
By 41_AI&ML_Mehul S
•Mar 29, 2022
Very Easy Course. A basic course marked as intermediate
By Francisco R
•Apr 23, 2019
It´s well explained but way too basic and short.
By Xixi W
•Aug 10, 2019
这课挺水的, 不如 deep learning specialization多矣。
By Alejandro D
•Aug 20, 2019
notebooks need work from the instructors
By Deleted A
•Jul 30, 2019
Course was not rigorous enough
By Reyhanssan I
•Oct 28, 2024
Because the LAB is so lagging
By Dhrubajyoti G
•Jul 29, 2023
Too much superficial.
By Reinier V
•Jan 12, 2021
Too basic.
By Peter C
•Aug 11, 2019
meh
By Maciej D
•Aug 12, 2021
This course is FULL of errors (both in code and math), inconsistencies and wrong explanations. I tried to document them, but I just gave up, because it is so many of them... For example the math which explains multiclass classification (Week 2 Video “Coding a Computer Vision Neural Network”) is wrong – the output of multiclass classification should be pseudoprobabilities, not numbers ranging 1 to 9… There are also unsolved problems reported in GitHub (https://github.com/lmoroney/dlaicourse). It seems like they really don’t care about correctness, completeness and quality of this course… If you want to learn TensorFlow I highly discourage to use this course - you will just learn wrong things and would have to unlearn them later... Also graded exercises are in TensorFlow 1.x and materials are prepared for TensorFlow 2.x which means that sometimes the code from materials does not work in graded exec, eg. logs.get('accuracy') does not work in tf 1.x and you need to use logs.get('acc'). I did this course only to get some practice and pass TensorFlow exam, because I'm academic who works with PyTorch.
By Yoni K
•Oct 1, 2019
First of all, it's an introduction to Keras and not Tensorflow.
Secondly, the explanations the author gives are lacking/misleading.
For example,in week one the net didn't learn exactly the hypothesis 2x-1 for other reasons than the ones he mentioned (oh,and the net did not give some kind of a probabilistic interpretation to the data...).
I am not sure why Andrew NG (who is the best instructor in the world to my mind) allowed this kind of instructor to be branded as deeplearning.ai.
By Anthony G
•Dec 4, 2020
This course claims to be over 28 hours, however, I was able to finish it (watching every video, reading every bit of text, doing every exercise) in less than 6 hours. The lab work is a complete copy-and-paste of the examples covered in the course. If you want to "buy a credential" take this course, but if you want to actually learn anything, take another course.