Review: DCNv2 — Deformable ConvNets v2 (Object Detection & Instance Segmentation)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Enhanced DCN / DCNv1, More Deformable, Better Results Deformable RoI Pooling In this article, Deformable ConvNets v2 (DCNv2), by the University of Science and Technology of China and Microsoft Research Asia (MSRA), is reviewed. …
Python’s List Comprehensions
Author(s): Vivek Chaudhary Originally published on Towards AI. Programming Lists are Python Data structures that are used to store multiple elements in a single variable. List comprehension is a more simple way to define and create a list in python, lists can …
How do Twins and Triplet Neural Network work
Author(s): Edward Ma Originally published on Towards AI. Photo by Ralph Mayhew on Unsplash As a practitioner, we usually build a multiclass classification model which is a predefined number of categories. Indeed, we do not need to know the total number of …
27 Words About Search Algorithms, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Originally published on Towards AI. Artificial Intelligence Think you can explain these? Put your knowledge to the test! The number of jobs artificial intelligence will ultimately transform is everyone’s guess. Most predictions, including Deloitte’s, are in the range of …
NLP News Cypher | 04.19.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Pawel Nolbert on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 04.19.20 Parallels The universe runs on a simple rule, and it could be, that the framework of this …
An Offbeat Approach to Brain Tumor Classification using Computer Vision
Author(s): Navoneel Chakrabarty Originally published on Towards AI. navoneel1092283/Brain_Tumor_Detection_HybridCNN-SVM_Weights Computer Vision plays a very crucial role in the field of Medical Science and this study of Applied Computer Vision in Medical Science is broadly known as Medical Imaging. Now, Computer Vision is …
Investigating the Risks Associated With COVID-19 Using Topic Modeling
Author(s): Piyush Rumao Originally published on Towards AI. Photo by Fusion Medical Animation on Unsplash “The better we can track the virus, the better we can fight it.” Objective Since the outbreak of the novel coronavirus (COVID-19), it has become a significant …
28 Words About Optimization, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Originally published on Towards AI. Artificial Intelligence Think you can explain these? Put your knowledge to the test! [This is the 4th part of a series. Make sure you read about Search, Knowledge, and Uncertainty before continuing. The next …
NLP News Cypher | 05.10.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Hendrik Cornelissen on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 05.10.20 Traveler And we’re back. We’ve released another update to the Big Bad NLP Database! Another 50 datasets …
Reading: ESRGAN — Enhanced Super-Resolution Generative Adversarial Networks (Super Resolution & GAN)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Deep Learning Outperforms SRCNN, EDSR and RCAN, and SRGAN. Also, won the First Place in PIRM2018-SR challenge ESRGAN can have a sharper result than SRGAN In this story, Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN), …
Recent Posts
