Can you pick out what’s odd in the below collection of images: How about this one?

The trick to do well in deep learning hackathons (or frankly any data science hackathon) often comes down to feature engineering. How much creativity can you muster when you’re given data that simply isn’t enough to build a winning deep learning model? I’m talking from my own experience of participating…

I’ve spent the majority of the last two years working almost exclusively in the deep learning space. It’s been quite an experience — worked on multiple projects including image and video data related ones. Before that, I was on the fringes — I skirted around deep learning concepts like object…

I was working on a computer vision project last year where we had to build a robust face detection model. The concept behind that is fairly straightforward — it’s the execution part that always sticks in my mind. Given the size of the dataset we had, building a model from…

Every once in a while, there comes a library or framework that reshapes and reimagines how we look at the field of deep learning. The remarkable progress a single framework can bring about never ceases to amaze me. I can safely say PyTorch is on that list of deep learning…