An Insiderβs guide to Cartoonization using Machine Learning
Author(s): Daksh Trehan Originally published on Towards AI. Deep Learning, Computer Vision Implementing white-box models to βcartoonizeβ 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 …
1. Highly Correlated Variables
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Louis Hansel @shotsoflouis on Unsplash In the real world, data is not as clean as itβs often assumed to be. Thatβs where all the data mining and wrangling comes in; to build …
ResNet Architecture: Deep Learning with PyTorch
Author(s): Satyam Kumar Singh Originally published on Towards AI. Deep Learning From winning ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2015 till now ResNet Architecture has been remarkable in the field of Data Science. Apart from ILSVRC, ResNet also won Detection …
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 …
YOLO V5 β Explained and Demystified
Author(s): Mihir Rajput Originally published on Towards AI. Computer Vision YOLO V5 β Model Architecture and Technical Details Explanation Source: https://pixabay.com/ From my previous article on YOLOv5, I received multiple messages and queries on how things are different in yolov5 and other …
Outline
Author(s): Haryo Akbarianto Wibowo Originally published on Towards AI. Deep Learning, Tutorial U+1F356U+1F372 Recibrew! Predicting Food Ingredients with Deep Learning!U+1F372U+1F356 βΆοΈβΆοΈ Step by step tutorial on predicting food ingredients using seq2seq in Deep Learning implemented in Pytorch Lightning. βοΈβοΈ Photo by Dan …
Gradient Descent Algorithm Explained
Author(s): Pratik Shukla Originally published on Towards AI. Machine Learning With Step-By-Step Mathematical Derivation Source: Unsplash Index: Basics Of Gradient Descent. Basic Rules Of Derivation. Gradient Descent With One Variable. Gradient Descent With Two Variables. Gradient Descent For Mean Squared Error Function. …
Intro to Neural Networks Part II β Brilliant.org
Author(s): Alison Sin Originally published on Towards AI. What is Training a Neural Network? These are the notes Iβve taken while going through this course at Brilliant.org. π since a premium membership might not be universally accessible and they did an outstanding …
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, …
GPT-3 from OpenAI is here and itβs a Monster
Author(s): Przemek Chojecki Originally published on Towards AI. Machine Learning The newest GPT-3 from OpenAI has 175 billion parameters and it is 10 times larger than the previous largest model, Turing-NLG from Microsoft. The behavior that emerges from this large model is …
What are the Sequences?
Author(s): Sanku Vishnu Darshan Originally published on Towards AI. The Vanishing Gradient Problem Photo by Icons8 team on Unsplash Hello, everyone, I welcome you to the Beginnerβs Series in Deep Learning with TensorFlow and Keras. This guide will help you understand the …
Sign Language Classification Using Monk AI
Author(s): Shubham Gupta Originally published on Towards AI. Computer Vision Sign language is a communication tool for deaf and dumb people in which hand, facial and body movements are used to communicate. There are over 135 different sign languages all around the …
Outline
Author(s): Sik-Ho Tsang Originally published on Towards AI. Review: DBPN & D-DBPN β Deep Back-Projection Networks For Super-Resolution (Super Resolution) Iterative Up & Down Projection Units, Outperforms SRCNN, FSRCNN, VDSR, DRCN, DRRN, LapSRN, and EDSR In this story, Deep Back-Projection Networks (DBPN) …