Deep Learning with TensorFlow & Keras

Embarking on the 'Deep Learning with TensorFlow and Keras' course was a transformative experience that surpassed my expectations. The course content upholds exceptional quality standards, delivered with remarkable clarity. It seamlessly integrates theoretical insights, practical examples, and hands-on code implementation, providing an enriching learning experience. The meticulously structured curriculum, coupled with a series of challenging assignments and projects ranging from fundamental to advanced levels, significantly contributed to solidifying my understanding of the subject matter. What stood out for me was the timely assistance available when tackling assignments and projects. The support I received was instrumental in overcoming hurdles and completing the course successfully. I wholeheartedly endorse this course to individuals with a sincere interest in acquiring in-depth knowledge of Deep Learning, Machine Learning, and Artificial Intelligence.

The course exceeded my expectations in many regards — especially in the depth of information supplied. The keyword "engineering oriented" surprised me nicely. Next amazing thing was the mathematics - everything is described very detailed and in depth. Which is unusual with nowadays courses. The course is very well organized and conceived. By following it, I was able to learn and build on the concepts with minimal questions or frustration.

One of the things which has surprised me that I like the most - I noticed it because I have worked through a number of online courses in the past - is the length and style of the videos. They break up the content for each lesson segment into a very easy-to-consume block of time, which has actually made it much easier to maintain progress in the course. Since I have a day job, this is a huge win for me. The staff are incredibly responsive and helpful without just handing out answers - I like this especially as it means I'm still figuring it out in the end even if I do need to ask for assistance. All of this has really helped me to actually learn the content, and I feel like the investment has been well worth it.

I am really impressed with the mix of rich content offered in the course (video + text + code), the reliable infrastructure provided (cloud based execution of programs), assignment grading and fast response to questions on forums. I should specifically mention the clarity of explanations provided in the video lectures and very good real world examples provided. For the course load part, I feel it is light enough to understand and challenging enough to stretch and learn to appreciate our own effort! Overall, I feel this has been one of the top paid online courses that I have ever taken.

The only course I've ever bought online and it's totally worth it. There are lots of material which are challenging and applicable to real world scenarios. The sections contain text, video and additional sources so it's easier to understand. I am at the end of computer vision I and the more I progress, the more fun it gets. As a computer science student, so far this is the most interesting topic I've ever explored.

The way they explain all the concepts are very clear and concise. This understanding is a crucial part to build a solid foundation in order to pursue a computer vision career. If you commit to the course you will end up with plenty of useful projects to build a robust portfolio. I will definitely recommend this course to any enthusiastic beginner or even for more advanced people in the field to polish some basic concepts plus the discussion forum is always on. I almost forgot to mention that the course is so versatile that provides two languages to learn: Python or C++.

I really enjoyed this course which exceeded my expectations. It summarize the important computer vision aspects you should know which are now eclipsed by deep-learning-only courses. You'll have the necessary knowledge to tackle your own problems with a different view avoiding over-engineered solutions. Reactive continuous feedback and practical projects gives you motivation to pursue the learning curve than a traditional book and completes it.

The course is divided into weekly lessons, those are crystal clear for different phase learners. The authors of the lessons and source code are experts in this field. After the explaining the CV fundamentals/algorithms, there is a corresponding source code where the learner can experiment with different values and see how each parameter value changes the behavior. The assignment, quizzes, and project work helps the learner to use the skills and techniques that are learned in the previous lessons.I recommend this course to the learners who are interested in DL, ML, and AI fields.

I did a career change in 2018, so I am a freshman to CV. Fourunately, I saw the CV course on a OpenCV meeting as my teacher Mr Yu told me that. In the beginning, I thought the course would be just so so, so I just tried it a little. But when I went through the course as time going, it became more exciting to me: I could receive new idea everyday when I learned the course. And the most important thing is that, my confidence become better, I beleive the course can help a lot in my career! thank you all, OpenCV Team.

I took this course because of the experts that were ahead of it and the availability to see the code implementations in both languages, C++ and Python. Definitely, the best part of the courses were the coding exercises and projects which made the learning process really immersive and fun. Implementing a small snippet of code from an idea presented in a research paper was the most remarkable exercise, you realize how a theoretical formula can be turned into an extraordinary practical application. If you are curious to understand how machines see and expand your knowledge through the multiple Computer Vision domains, this is the right course for you.