During the last 18 months I spent a lot of time reading about Deep Learning and experimenting in various problem spaces where these techniques can be applied. As a big fan of cloud computing I relied mainly on AWS and their p2.xlarge spot instances to run my Deep Learning …

With this post I will attempt to describe the approach I followed in order to analyze 100GB of image data for the purpose of identifying sea lions in aerial photos as part of this kaggle competition. The reason why I found this competition an interesting challenge was threefold: was for …

This post is an attempt to provide an intuitive approach in understanding DFT's temporal and frequency resolution characteristics. We will implement everything from scratch using python in order to conduct an as straightforward as possible analysis with minimal dependencies. Discrete Fourier Transform (DFT) The forward discrete fourier transform (DFT): $$X_k …