BTW, I put a *ton* of my own personal time putting this together. If you enjoyed it/found it helpful, please RT it. Seeing others share my tutorials and guides gives me the energy I need to continue producing free Computer Vision, Deep Learning, and OpenCV content.

Deep learning and Convolutional Neural Networks are the buzz words around now a days when we hear anything about AI. By the time I became enough familiar with these terms, I already had started my journey on the road to Computer Vision by reading the fascinating PyImageSearch blogs and joining the PyImageSearchGurus course designed by Dr Adrian Rosebrock. When my fascination about Computer Vision did not diminish a bit even after six months, I decided to pursue it to the best of my abilities. I watched a lot of You Tube videos, skimmed through different papers and books on this subject and finally settled by purchasing the Imagenet bundle of Deep Learning for Computer Vision with Python (DL4CV) by Dr. Adrian Rosebrock. DL4CV certainly exceeded my expectations mark. What I like about Adrian's writing is - his application oriented approach when teaching the theory.

If you want to make connections, rub elbows, and learn from the leading computer vision and deep learning experts (and hang out with us in San Francisco for a few days), you'll want to make sure you grab a ticket. You should plan on arriving Sunday afternoon and departing Wednesday morning. Where can I contact the organizer with any questions? Yes, if you have purchased your ticket and would like to transfer it to another person, use the contact form link above and we will get that taken care of for you. What is the refund policy?

I decided to develop familiarity with computer vision and machine learning techniques. As a web developer, I found this growing sphere exciting, but did not have any contextual experience working with these technologies. I am embarking on a two year journey to explore this field. If you haven't read it already, you can see Part 1 here: From webdev to computer vision and geo. I ended up getting myself moving by exploring any opportunity I had to excite myself with learning.