MH
May 23, 2019
A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.
CM
Apr 30, 2019
A patient and coherent introduction. At the end, you have good working code you can use elsewhere. Remarkably, the primary lecturer, Laurence Moroney, responds fairly quickly to posts in the forum.
By Michael R
•Sep 18, 2019
Actually a great course. Only not getting more stars due to the issue encountered with the last exercise where there is an issue in loading the data files. The workbook keeps on crashing and there is no solution provided to resolve that.
By Matías B
•May 28, 2020
The material is good, but there is not much thereof.
The duration of the assignmentsis greatly exaggerated, since most of the lengths for the readings and exercises are wrong.
The course can easily be done in 25% of the official time.
By Dirk H
•Nov 7, 2019
If you have taken the first course of the specialization this class was repetitive at some points. I also did not like that there have not been graded coding problems. I still got some practice and learned some new techniques.
By Pietro V
•May 3, 2024
Great course and great explanations. The version of TF on CoLab, however has missing information that do not allow to complete the assignments correctly unless you search for answers on the internet for error messages.
By Waleed I
•Sep 30, 2023
Not too much explanation. Very short course, just like Tensorflow tutorials in short videos. It should be covering all aspects in detail like Deep Learning Specializaion making person fully expert in applying CNN.
By Vincent Y
•Mar 20, 2020
The materials about implmentation of transfer learning is helpfu, but again, I think the whole content of the first two courses could be compressed into one week. There're really not too much new things.
By Sumit c
•May 18, 2020
some clear instructions should be given for students. In exercise of week 4, there was no specific instruction about using .flow instead of .flow_from_directory, for labels we had to use to_catagorical.
By Amir S
•May 24, 2020
Course assignments need a good overhaul. The two environments to practice the assignments (Jupyter workbooks and Google Colab) are not consistent, one throws an error while the other one works fine.
By Nermeen M M
•Dec 13, 2019
Very good course but please consider reordering the videos and reading especially in week 3. It is better to discuss the code in the video before moving to the notebook not the opposite.
Thank you
By Ashok N
•Jun 26, 2020
Course content was super nice.
But exercise organization is very annoying. not at all satisfied with the exercises. sometimes not loading and sometimes is really annoying . very disappointed
By Renjith B
•Jul 15, 2019
Good content for classification tasks. But didn't cover anything related to object recognition, localisation and semantic segmentation which are the challenging computer vision tasks.
By Luis S
•Feb 9, 2021
The essential of convolutional neural networks is covered by this course although there ais unnecessary code in the examples and a lack of explanations especially in the assignments.
By Yuvraj G
•Apr 11, 2020
Too basic course. If its a practical course, then there should be exposure to more functionality of keras and not just the basic one which can be done from a blog/documentation.
By Ted T
•Jan 2, 2021
Lawrence's lectures were good, but exercises were disconnected from course material. Having to do exercises in Google Colab and then redo in Jupyter notebook was inefficient.
By Andrei I
•Feb 13, 2021
Too easy. One can finish all exercises without learning much. The quality of explanations is poor. The whole course is but a short walk through Laurence's Jupiter notebooks.
By Andrea B
•Jun 1, 2020
the topic is interesting, and the course is quite hands-on, but the treatment of the subject is extremely basic. Videos are too short and somehow superficial and incomplete
By Anirban D
•Dec 26, 2024
Boring. If you really want to teach Keras, please show how to write custom training loops. The train_step() function. Model.fit() gives an illusion of accomplishment.
By Michele M C
•Feb 18, 2021
cnn implementation theory should be covered better, giving more reason why the code is written this way, furthermore the last homework of the course was bad designed
By seif m
•Sep 20, 2020
very good course, but think it needs to go deeper in the functions and tools in tensorflow for conv netwroks, i have the feeling that the course is somehow shallow.
By Adnan
•Jun 8, 2020
It was a great course, but in my opinion, it could have been even better if it involved more concepts & APIs to explore apart from the most in-use TensorFlow APIs.
By Ethan V
•Aug 17, 2019
Solid content, but it feels like it's not *very* much on top of the first course in this specialization. I think these two courses could be combined into one.
By Madhav A
•Oct 16, 2019
The course is good for beginners as it is very basic. It needs more advance topics like Detection using TensorFlow. Have a lot of scope for improvement.
By Moeen T
•Feb 19, 2021
There wasn't enough useful content. There were also many problems with the programming assignments, specially in the last week's assignment.
By Alejandro B G
•Sep 3, 2019
Google colab system for tasks is pretty bad, no control on the tasks plus it erases and u can't prove you did the work unless you save it
By abhas b
•Apr 9, 2020
The course content is excellent. The talks with Andrew are inspiring, but the assignment graders are aweful and a big turn off.