Computer Vision Masterclass (Udemy.com)

Hello, my name is Bert (76). I guess I am a bit of a dinosaur when it comes to computing. I started in the 1970s with basic programming on a Tandy TRS-80: no hard drive, no mouse, no internet, but an audio cassette tape drive for storing programs. I became involved with the local university's computer centre, programming on the Univac 1108 in Fortran. I even used punch cards to store programs. Later, while working as a system administrator at a scientific institute, I got my own mini VAX, which at the time had an amazing 128 MB hard drive. Since retiring, I have continued to do a lot of programming. Over the last few years, I have become very interested in neural networks and LLMs, and I was delighted to take your course because you provide a solid theoretical foundation and use Jupyter Notebooks, going through the code line by line. I am a bit old-fashioned and prefer to run programs locally, especially since I live in Brazil, where the internet connection is not always reliable. In fact, just last week we had a six-hour blackout because a van ripped down the internet lines on a nearby street. Because you explained the code in such detail, I was able to get all the notebooks running on my Mac mini, even managing to force OpenCV (cv2) to use the GPU. Thank you very much for this course. It was extremely helpful, combining practical applications with a solid theoretical understanding. I am looking forward to starting your next course on AI Agents. Parabéns pelos seus excelentes cursos! -=b=-

Overall, expose myself to various knowledge of computer vision. Have to say the coverage is really good and I appreciate that the applications is always brought as motivation, especially since this is a course for beginners. The only slight weakness, the run on the variables naming being wrong is quite frequent but it's a minor matter. I would give it a 95 % score out of a 100 if possible

Mr. Jones Granatyr has delivered an exceptional masterpiece on computer vision, expertly combining standard imaging methods with convolutional neural networks (CNNs). The course's second segment is dedicated to CNNs, where Mr. Granatyr demonstrates each technique with remarkable proficiency and clarity. This program is highly recommended for anyone seeking to grasp both fundamental and advanced concepts of computer vision, as well as to gain a deeper understanding of CNNs and their diverse applications. It is an invaluable resource for learners and professionals alike. Perhaps a sequel exploring Neural Radiance Fields (NeRFs) or more advanced neural networks could elevate the learning experience even further. Thank you, Mr. Granatyr, for sharing your expertise and knowledge!

The course was really extensive but sometimes boring. The author likes to abuse the word "implementing/implementation" when he actually loads ready solution (not talking about neural networks, he did a great job on really implementing them layer by layer). I wish the course wasn't read, without pronounciation mistakes and not so repetitive. Overall it gave me a solid overview and some new inspirations.

Content was good, it seemed like a pretty solid overview of computer vision for beginners. Lots of applications and code examples, but it would benefit from a little more theory. The start of the course was great for fundamentals, and the introduction to neural networks in section 5 was very comprehensive. In later sections though it relies more on using libraries rather than implementing much yourself, and the assignments weren't really challenging enough to keep my attention. I especially would have liked to learn more about neural network structure and optimization. Overall I would say it is good course if you are fairly new to programming or Python in general, but you may find it slow at points if you have any experience.

I always go through the course content before rating regardless of how long it may take to complete the course. I would recommend this course to anyone. This course is worth taking I learned valuable information and technics. The instructor is knowledgeable and on top of his topic. The explanations were clear and concise. Keep up doing a great job!

Hi Jones and Gabriel, I can see the effort on making this difficult concept so much accessible for beginners like me. I really appreciate that you repeat and remind the important concepts and coding patterns again and again that help instill the knowledge quicker. The last 3 sections are more difficult to understand, but I manage to finish! Thank you again!!!

Before starting the course, I had experience in Data Science and Machine Learning on Python. I had OpenCV basic knowledge, but I think this course is the one that I like the most on udemy courses and every detail has been elaborated. As a recommendation, if you have a foundation in the course, it is an excellent option to improve yourself on these topics. I hope our teacher continues to produce content in English and does not captivate us from his knowledge. If you have seen this, will there be more courses with English content as an answer? And when will it come? It would be great if I knew because I'm following you. Thank you very much for preparing this course for us.

The basics of Computer vision are covered with explanation clear and concise. This course is recommended for beginners who want to know what the basics of Computer vision is and how to utilize the Keras and Tensorflow libraries along with good examples. Overall, I enjoyed the explanation given by instructors and making it simple and easy to understand. Obviously, one needs to deep dive reading online content, books, research papers etc and implement their own mini projects to gain more insights. Overall, a big Thumbs up to instructors for putting on a wonderful content and helping students to clear basics of Computer vision

The projects were basic and the interesting to learn .Course was well structured but I was expecting much more in depth explanation of topics instead of just focusing on implementing the projects. Although the instructor mentioned that this course gives intuition about several topics but a 5-10 min explanation isn't just enough for most of the topics. I loved the neural networks and convolutional networks part and was expecting something like that for other sections as well.