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..
A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!
автор: Thomas L•
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!
автор: Alvin M•
Sudden spike of difficulty and approach in the final assignment, but overall, the pacing is really nice. You really can't solve the last assignment without reading the discussion forum or looking for things for yourself though.
автор: William G•
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.
автор: Leon R•
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.
автор: Humberto N•
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.
автор: Varun K M•
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.
автор: Kalana A•
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!!!!!!
автор: Fahmi J•
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
автор: XX N•
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.
автор: luis a•
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...
автор: C A•
Assignments are good, but it should concentrate more on the actual problem rather than the file reading or any nitty gritty details without any hint. Thanks , this course is good in overall.
автор: Rajesh R•
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.
автор: Amit K D•
Found the hands-on not very interesting. Couple of them focussed on file handling and stuff rather than on more important stuff that getting into the hoods of transfer learning, etc.
автор: Rakesh G•
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
автор: ashish s•
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 .
автор: Gerardo S•
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.
автор: Eric L•
This course only requires few hours of work and I would like to see more depth. The parts on image augmentation and transfer learning were pretty interesting though!
автор: Luciano C•
Curso muito legal, a única coisa que ficou um pouco abaixo do esperado foi o último exercício da quarta semana, não foi construído com o cuidado visto nos outros.
автор: kaushik v•
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
автор: Dimitry I•
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.
автор: vaibhav t•
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
автор: chaitanya m•
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.
автор: Ujjwal G•
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.
автор: Estefania T•
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
автор: Subham S•
The course content was quite good and overall understandable but the exercises and quizzes were quite easy, they could have been more challenging