Deep Learning :Adv. Computer Vision (object detection+more!) (Udemy.com)

it's mix between some random data and previous YouTube videos! project source aren't match with the videos content !

Does not teach anything in depth. This course will teach you to hit CMD/CTRL+R and run example code (any 8 yr old can do this) but in NO way will teach you adv. computer vision... most of the code / resources are based on widely available free content. i.e. keras documentation / tensorflow repo. Does not explain object detection models, how they work... just tells you to call a model API with some data. I should have been warned when the course description mentions "zero math" . Definitely not for me.

1)More elaboration was expected for object detection part. I would like the author to add tensorflow or pytorch based code to completely train yolo and how to do inference. I will wait further on the said feed back. 2) two more examples of transfer learning with tf and keras would have helped a lot. I request the author to add the same. Positives: 1) short and crisp videos helping a lot :). keep it up.

i come with none knowledge of computer vision and deep learning, after i finish this course i feel i just gain basic about this topic. thanks a lot of

the delivery in this course is one of the best have seen so far, the use of the assessment is really nice this helps reinforce what you have learnt in any section, would encourage everyone not to skip the assessment. after going through this course I had to buy another course from Jay

Course completely fulfills the expectations and provides with solid knowledge basis to kick-off with practicing python in computer vision in case one has basic familiarity with the field. There is a brief but effective intro to convolutional neural nets and deep learning which is also very handy.Thank you Jay

This is an excellent course designed for OpenCV covering all the major aspects of Image and Video Processing. A lot of details of Python programming are provided by using real time coding examples. Deep Learning modules come as an added advantage with this course. Fundamental techniques and datasets are used very well with explanatory examples. I highly appreciate this course and personally thanks Jay for his sincere efforts.

Love this course. Instructor is very knowledgeable and teaches very clearly. It was my first ever computer vision course. I had no idea about basics of OpenCV or any other tool used in the project. He taught everything so patiently, function by function that I have planned to change my domain of work. I'm looking forward for his other courses and trying to master this domain. Once again, Thanks for this lovely tutorial, a hand holding guide to get one started in computer vision. Absolutely recommended course!.

The words 'Thank you' don't even begin to express my gratitude for the experience that I've had just by attending your online course. You have been an excellent teacher. And because of your liveliness, care and understanding you have undoubtedly made python a really interesting that once seemed sort of boring for me. I am really grateful to you and now have a liking towards python.

This course is exactly what I was looking for. The instructor does an impressive job making students understand they need to work hard in order to learned. The examples are clear, and the explanations of the theory is very interesting.