Sep 12, 2019
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.
Mar 15, 2020
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..
By Marco D G S•
Jul 26, 2020
I think some parts of the assignments are not really the main objective of the course, they focus more on methods that involve just creating folders and copying files, which is not what I was there for. Aside from that, great ML content right here :)
By Oscar D D L T•
Sep 07, 2020
Excelente curso, casi no necesitas saber programar los conceptos super actuales y las actividades te permiten ejecutar procesos de inteligencia artificial y lograr resultados interesantes con un conocimiento tecnico minimo....super recomandable!!!!!
By Saeif A•
Aug 20, 2019
This is another great course in the specialization. I wish only there were graded exercises like the previous course that we can submit and get a grade for. I understand maybe this is due to the long time of training and that is not possible to do.
By Thomas L•
Nov 04, 2019
Maybe a bit repetitive, when you just finished Course 1. We see a lot of lines of codes explained again from course 1 and I think that could be avoided.
However, the new concepts are nicely introduced and very interesting to implement!
By William G•
Aug 16, 2019
It was good, but similar to other learners I feel a little light in content. Though in tandem with the deep learning specialization gives a good view on convolutional neural networks as well as its implementation in tensorflow.
By Leon R•
Oct 26, 2019
Loved the course. I would have liked a module on saving your own models and then loading them later. The Inception one is nice, but it comes with some "niceties" that I don't think you have with loading a home grown model.
By Humberto N•
Jun 09, 2019
It's an great course with simple explanations about the Deep Learning topic. It's a perfect fit for beginners or those who want to have a practical review before starting using Tensorflow 2.0 with keras implemetations.
By Varun K M•
Apr 27, 2020
It was a great course but there wasn't much theory into explaining why and what's happening. A course to get started with the coding without actually needing to require what is happening in the background.
By Kalana A•
Apr 14, 2020
Nice course. Even though I have previously done some projects using CNN and multi-class classification still this course let me to have an insight to how these APIs work. Keep Up The Good Work!!!!!!
By Fahmi J•
Apr 29, 2020
This course awesome, but the notebook from coursera "i think" doesn't support any experiment we want, so we have to do it on google colab. But great, limitation is okay as long it's still graded
By H M A R•
Oct 02, 2019
The course is really nice. But would be better if the convolutional layers were a bit more detailed. It was a bit difficult for me to understand all the parameters e.g: input/output filter size.
By luis a•
Sep 30, 2019
The course was fine sometimes I feel too easy. I would like to see more of the available options for the layers, such as padding, stride. filter size, mean average, batch normalization, etc...
By Rajesh S•
Jun 14, 2020
Great course to learn newer aspects of TF. For me a great revision of ConvNets and a confidence builder. If there's one thing I'd fix, it would be the autograder and how often it crashes.
By Rakesh G•
Jan 17, 2020
I think this was a good course but the standard of exercises and quizzes was too easy. More conceptual questions especially in quizzes would help in understanding the topic better
By ashish s•
Apr 22, 2020
Overall good. Could have gone in bit more depth on how various hyper parameter tuning and regularization methods impact the model training. Provide some best practices tips .
By Gerardo S•
Sep 27, 2019
the last exercise needed a big upload, made it imposible (for me) to do. This was a problem not related to the subject, should use data downloadable directly from internet.
By Vishwanadha K V•
Jun 22, 2020
The assignments are not challenging enough. The concepts are really well explained and for someone with no background in this area, this is a great learning asset
By Dimitry I•
Aug 10, 2019
Very good course that teaches you basics of convolutions, augmentation, transfer learning. Thank you to Mr. Moroney and the Coursera team for making it available.
By vaibhav t•
Jun 27, 2020
The course was good. The only problem was the last assignment where some of the functions went missing. It was difficult for a beginner to catch such glitch
By chaitanya m•
Apr 15, 2020
The best course to do. Especially after the specialization course from Andrew. It is really helpful to code all the concepts you learned from Andrew course.
By Ujjwal G•
Nov 16, 2019
I think most much of the course conent was same as the first course, this course could have been a little more advanced. But overall a great place to start.
By Estefania T•
Jun 02, 2020
The contents are a bit light from my point of view. I get it is to be accessible for more people but math and explanations are in some cases important
By Subham S•
Dec 23, 2019
The course content was quite good and overall understandable but the exercises and quizzes were quite easy, they could have been more challenging
By Pray S•
Apr 23, 2020
The hand sign assignment need more explanation about using flow object from ImageDataGenerator since I just know only flow_from_directory object
By Gianluca T•
Sep 17, 2020
Very nice and interesting videos, cool concepts, amazing datasets. Exercises lack sometimes clear objectives, or provide unclear feedbacks