25mins read Transposed Convolutions is a revolutionary concept for applications like image segmentation, super-resolution, etc but sometimes it becomes a little trickier […]
30mins read Deep neural networks are trained using the stochastic gradient descent optimization algorithm. As part of the optimization algorithm, the error for […]
37mins read In this post, I provide three useful resources for understanding LTSMs. Introduction Sequence prediction problems have been around for a […]