Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..
great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.
By Li P Z•
If you have taken Andrew's courses in ML or deep learning, you will be disappointed. The amount of content in the videos and exercises is shrunk down by 75% per week. I think a much better job could have been done of structuring the course, and creating meaningful exercises. The instructor does an OK job of showing you how to use TF, but he doesn't always explain things very clearly, and doesn't always have an accurate understanding of how ML or deep learning works.
Content is really useful, but the assignment is really really bad and not user friendly(actually it drives me crazy). For example, instruction is not clear, parameter is outdated(still use 'acc' for accuracy?), assignment cannot be graded not because of modeling. These inconvenience obscure of the importance of learning CNN in TF. For this reason I don't think this course worth more than 3 stars.
By Rishi R•
This course could have covered many more topics in detail, like visualizing individual layers, performing style transfer, saving and loading models, etc. All these were skipped and weeks were wasted on a simple extension of a small concept (image augmentation and multi-class learning) which anyone who glanced at the Keras API could have learnt. I am disappointed at this course frankly.
By Tran N M T•
Really a bad course. Most of the materials can be found online for free on TensorFlow official documentations. Many practices are outdated. Problems with the coding assignment are a nightmare. There is no supervisor to answer many common questions. The code grader checks for very particular things and instructions were not clear at all. In general, this is a pretty bad course.
By Ian P•
The first and fourth graded assignments were not very well posed. The grader in the 4th graded assignment kept running out of memory. The instructors do not get back to people in the forums. There was not much actual new material: most of the 4 weeks of material could have been covered in a single week. This has been the most discouraging coursera course i have taken.
By Ayush M•
Course Material not detailed enough and expected more from it. It does not contain enough variety in exercises and lacks a lot of concepts.
Anyone with good learning (and "overfitting") can complete 1 course in a day.
Final assignment lacked a lot of use case description and it did not even tell us anything about the data or recommended parameters for training.
By Cristián A P I•
There was a lot of repetition with respect to the previous course, making this one feel a bit like filler. The exercises were poorly designed: they used functionality that was not taught during the course, were badly explained and often had weird passing conditions, to the point that I felt I was fighting with the grader instead of trying to improve my code.
By Daniel N•
Far to simple. Significant concepts were glossed over and the exercises were mainly copy and past from the examples. Lessons that covered a "week" took < 1 hour with a couple minor points learned. Don't recommend if you want to really know how CNNs work.
By Dhruva G•
The content could have been covered in 15 min. Moreover, I thought you guys will teach tensorflow low level API and estimators etc. atleast in course 2. Also, what happened to the graded assignments ? I finished this course in 40 min.
By Stephen M•
The course simply does not cover much information. The whole course could be compacted into a decent one hour lecture. Andrew Ng has some great courses on machine learning but I don't believe this to be one of them.
I was wasting my time with small coding obstacles for setting up the data (missing hints ?!) instead of getting teached on how to implement models in various ways and how to use regularization for real...
By Kalana I•
The course material is good and the lectures are great but rating it low to bring attention to the assignments which were old and incomplete. They really need to be updated. Specially week 4.
By Klemen V•
In my opinion there is to little background explanation. There were errors in Programming Assignment
in week 3 and 4. I had to look in forum discussion so I could complete the exercise
By Dmitry T•
weeks from 1-3 were perfect.
But the programming assignment on week 4 needs to be fixed. Please add hints and examples, otherwise it is just a headache
By Jose R•
No enough time spend in the actual code which limits the learning on the understanding of the concepts with implementation. Doubt how useful this is
By Muhammad R R M•
Last exercise is so bad. It didn't even discuss about flow function, why it's need 26 last layer? isn't it should be only 3?
By Dmitriy S•
Absolutely awful grader. You spend most of the time figuring out errors and intentions of the grader writer.
By Matthew R•
Very superficial look at deep learning. A lot of the programming assignments had little to no context.
By Francisco R G•
Repetitive chapters, repetitive info on videos, and not very useful final test. They have to review it.
By Jin C•
It's too easy for an intermediate machine learning leaner, and it's little about naive TensorFlow.
By Roger G A•
Specially in week 4, big gap between information taught in the lecture, and the last assignment.
By Pouya K•
poorly designed exercises
poorly designed material that all could be said in just 1 or 2 weeks
By Jair N•
The content are good, but the audio is low and the exercises are not well documented.
By Adith k•
There's hardly any video time. We can finish the whole course in a day
By Seyyed M A D•
HWs are not well and thoroughly-thought designed (Grader runs out of memory ).