Receptive Field Arithmetic for Convolutional Neural Networks

Receptive Field Arithmetic for Convolutional Neural Networks

In the past couple of years, convolutional neural networks became one of the most used deep learning concepts. They are used in a variety of industries for object detection, pose estimation, and image classification. For example, in healthcare, they are heavily used...
Python 3.9 – The Shape of Things to Come

Python 3.9 – The Shape of Things to Come

Python 3.9 is scheduled for 5th October 2020. There is still a long way to go until then, however, with the latest alpha 3.9.0a6 released last week and the beta version is just around the corner, we can already discuss new features. In this article, we explore some...
Collaborative Filtering with Machine Learning and Python

Collaborative Filtering with Machine Learning and Python

In the previous article, we had a chance to see how we can build Content-Based Recommendation Systems. These systems are quite easy and they consider only interaction of a single user with the items of our platform. Essentially, when we are building such a system, we...
Detection of  COVID-19 in chest X-Rays with Deep Learning

Detection of COVID-19 in chest X-Rays with Deep Learning

The code presented in this article can be found here. COVID-19 virus hit us hard. Warnings from Nicolas Taleb that our interconnectedness could cause wide pandemic were true. Schools are closed and most of us are working from home, spending time in isolation and...
Deploying Machine Learning Models – pt. 1: Flask and REST API

Deploying Machine Learning Models – pt. 1: Flask and REST API

In this article, which is the first in the series, we explore how we can prepare a deep learning model for production and deploy it inside of Python Web application. This is just the first step in the long journey. In fact, deployment of Deep Learning models is an art...