4 Proven Tricks to Improve your Deep Learning Model's Performance

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 detection and face recognition – but didn't take a deep dive until late 2017. I've come across a variety of challenges during this time. And I want to talk about four very common ones that most deep learning practitioners and enthusiasts face in their journey.