Visualizing Gradient Weighted Class Activations with GradCAM — In today’s article, we are going to visualize gradient weighted class activations. It may sound confusing at first, but at the end of this article, you will be able to ‘ask’ Convolutional Neural Networks (CNNs) for visual explanations of their predictions. …

Generating Area Importance Heatmaps with Occlusions — In today’s article, we are going to start a series of articles that aim to demystify the results of Convolutional Neural Networks (CNNs). CNNs are very successful in solving many Computer Vision tasks, but as they are Neural Networks after all, they may fall into the category of ‘black box’…

Computer Vision Sensing & CNN Perception Improvements 🤖🚗 — In today’s article, we are going to improve Jetson’s sensing and perception abilities with Computer Vision and Machine Learning techniques. It would allow our toy car to learn how to handle new cases going far beyond the simple path following. …

Car Assembly, System Design and Basic AI Autopilot Motion 🤖🚗 — In today’s article, we are going to begin a self-driving toy car series. The first part of the series will cover the car assembly and basic AI autopilot motion. We are going to start building an end-to-end vision self-driving system which will leverage Robotics, Computer Vision, and Machine Learning. …

Smart Hashtag Generation — In today’s article, we are going to perform Multi-Label Image Classification using Convolutional Neural Networks. Machine Learning model trained with such an approach, would be able to generate multiple descriptive labels for a given input image. …

Image Manipulation (Contrast, Brightness, Blur, Pixellation) — In today’s article, we are going to explore the basics of low-level GPU computations used for rendering graphics. In order to do so, we are going to dive into the world of GPU Shaders and perform some image manipulations like contrast, brightness, blur, and pixellation. …

Lanes Detection with Computer Vision — In today’s article, we are going to use basic Computer Vision techniques to approach the street lanes detection problem which is crucial for self-driving cars. By the end of this article, you will be able to perform real-time lane detection with Python and OpenCV.

Metaprogramming with AI — In today’s article, we are going to learn how to write programs that write programs. The notion of programs that can generate other programs is called metaprogramming and by the end of this article, you will be able to create your own code-generating system. Take a look at the following…

AI Predictions with Simple Statistical Methods — In today’s article, we are going to build a prediction system with simple statistical methods. We are going to show that Machine Learning applications aren’t limited to neural networks only and we can achieve a decent predictive behavior with Computational Statistics. …