In the previous post in this series, we showed how to use pre-trained models in Keras to perform image classification. Here we will explore additional options for leveraging pre-trained models with an ...
Understanding Convolutional Neural Networks (CNNs): A Complete Guide
In this post, we will learn about Convolutional Neural Networks (CNN) in the context of an image classification problem. We first cover the basic structure of CNNs and then delve into the detailed ...
Training Neural Networks for Beginners
In this post, we cover the essential elements required for training Neural Networks for an image classification problem. We will still treat the internal network architecture as a black box so that we ...
CenterNet: Objects as Points – Anchor Free Object Detection Explained
Anchor free object detection is powerful because of its speed and generalizability to other computer vision tasks. "CenterNet: Object as Points" is one of the milestones in the anchor-free object ...
Autoencoder in TensorFlow 2: Beginner’s Guide
Imagine you have an image or an audio file which you would like to transfer to a friend. Sending the raw format data could be time-consuming and potentially inefficient, especially when the files' ...
Code OpenCV in Visual Studio
In this article, we explain how to build applications with OpenCV using Visual Studio. We will be using Visual Studio 16 2019. If you write code on Windows, there is a high probability that you work ...
