Image Classification with Neural Network
Author(s): Mugunthan Originally published on Towards AI. Deep Learning A feedforward neural network is an artificial neural network wherein connections between the nodes do not form a cycle. As such, it is different from its descendant: recurrent neural networks. The feedforward neural …
The AI Monthly Top 3 — December 2021
Author(s): Louis Bouchard Originally published on Towards AI. The most interesting December’s AI breakthroughs with video demos, short articles, code, and paper reference. This member-only story is on us. Upgrade to access all of Medium. Originally published on louisbouchard.ai, read it 2 …
Text-to-Drawing Synthesis With Artistic Control | CLIPDraw & StyleCLIPDraw
Author(s): Louis Bouchard Originally published on Towards AI. Take a picture of the style you want to copy, enter the text, and the algorithm will generate a new picture out of it! This member-only story is on us. Upgrade to access all …
Neural Style Transfer using a simple python library
Author(s): Divy Shah Originally published on Towards AI. Computer Vision A guide to neural style transfer using the amazing neural-style-transfer python library with few lines of code. In this tutorial, we will learn how to use the neural-style-transfer library to compose images …
Self-Supervised Learning
Author(s): Adeel Originally published on Towards AI. Machine Learning Predict everything from everything else Photo by Shirota Yuri on Unsplash Machine learning is broadly divided into supervised, unsupervised, semi-supervised, and reinforcement learning problems. Machine learning has enjoyed the majority of success by …
U-Net Image Segmentation with Convolutional Networks
Author(s): Buse Yaren Tekin Originally published on Towards AI. Step 1: Obtaining the dataset This member-only story is on us. Upgrade to access all of Medium. In our age, semantic segmentation on image data is frequently used for computer vision. U-Net is …
Object Detection at the Edge With TF Lite Model-maker
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Join Medium with my referral link – Konstantinos Poulinakis This member-only story is on us. Upgrade to access all of Medium. A comprehensive tutorial on object detection at the edge with Tensorflow Lite (TF …
Image Classifier — Zalando Clothing Store using Monk Library
Author(s): Vidya Originally published on Towards AI. Computer Vision This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. Tutorial available on GitHub. …
This AI Can Generate the Other Half of a Picture Using a GPT Model
Author(s): Louis Bouchard Originally published on Towards AI. A good AI, like the one used in Gmail, can generate coherent text and finish your phrase. This one uses the same principles in order to complete an image! All done in an unsupervised …
An Insider’s guide to Cartoonization using Machine Learning
Author(s): Daksh Trehan Originally published on Towards AI. Deep Learning, Computer Vision Implementing white-box models to “cartoonize” real high-quality images. Cartoonization is itself a classic art but, the evolution in the field of Machine Learning is covering almost every realm. Today, in …
AI Generates 3D high-resolution reconstructions of people from 2D images | Introduction to PIFuHD
Author(s): Louis Bouchard Originally published on Towards AI. This AI Generates 3D high-resolution reconstructions of people from 2D images! It only needs a single image of you to generate a 3D avatar that looks just like you, even from the back! The …
Image Processing Basics through OpenCV
Author(s): Shuvayan Ghosh Dastidar Originally published on Towards AI. Photo by Shahadat Rahman on Unsplash In computer science, digital image processing is the use of a digital computer to process digital images through an algorithm.[1] An image is taken as input and …
Understanding the IoU Metric in Object Detection
Author(s): Pushkar Pushp Originally published on Towards AI. Computer Vision https://images.unsplash.com/photo-1453728013993-6d66e9c9123a?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=1950&q=80 Introduction In this post, we will cover the metric used for the evaluation of the object detection model. The metric is invariant of algorithms whether one uses RCNN, Fast-RCNN, Faster- RCNN, …
How To Develop A Game Using Computer Vision
Author(s): Ritheesh Baradwaj Yellenki Originally published on Towards AI. Computer Vision Playing A Racing Game using Hand Tracking, Artificial Intelligence Picture made using Canva If you are an excited geek and love Computer Vision, AI here is an interesting application for you. …
Create a Dataset for Object Detection
Author(s): Pushkar Pushp Originally published on Towards AI. Computer Vision Create a Dataset for Object Detection Source: Unsplash Introduction The first step for most computer vision tasks such as classification, segmentation, or detection is to have custom data for your problem set. …
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