RFBNet: Custom Object Detection training with 6 lines of code
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. In a previous article, we have built a custom object detector using Monk’s RetinaNet. In …
Disentangled Representation Learning for Non-Parallel Text Style Transfer
Author(s): Anchit Bhattacharya Originally published on Towards AI. Paper Summary Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova Disentangling hidden layers of a neural network give us more control and understanding of a neural network Photo by Steve Johnson on Unsplash In …
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 …
Serving Data Science to a Rookie
Author(s): Daksh Trehan Originally published on Towards AI. So, last week my team head asked me to interview some of the possible interns for the team for the role of data science and machine learning, and he forwarded me their resumes. He …
AI in Marketing for Startups & Non-technical Marketers
Author(s): Nicolás Vargas Originally published on Towards AI. A practical guide for non-technical people Photo by Kevin Ku on Unsplash AI is currently a “hot topic” it has tons of media coverage, and public discussions are through the roof. It is meant …
Implications for the Data-Driven Businesses
Author(s): Chan Naseeb Originally published on Towards AI. What do businesses achieve, once they start their journey to become a data-driven enterprise? In this blog, I will discuss what you would obtain if you would become a Data-Driven business. Photo by Chris …
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 …
Seven Steps to Success: A Seven-step Guide to Learn and Master Machine Learning (ML)
Author(s): Anushkad Originally published on Towards AI. In case you dream of becoming a data scientist or an ML engineer, you’re at the right place to begin your journey with. This guide is completely based on my personal experience on how I …
Interview Questions: Object Detection
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Photo by pisauikan on Unsplash I am currently in a job search for a Computer vision engineer. In this article, I am trying to share the things which I have learned. I would …
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 …
The Advanced Era of Artificial Intelligence(AI): AI Will Now Transform Your Thoughts Into Texts
Author(s): Anushkad Originally published on Towards AI. Recently a system was developed by Joseph Makin and researchers from the University of California, San Francisco, who revealed their findings in the journal Nature Neuroscience. An immensely impressive and astonishing breakthrough may just be …
Hands-On Theano: One of the Most Powerful Scientific Tools for Python
Author(s): Tommaso De Ponti Originally published on Towards AI. Get started or improve your Machine Learning/Data Science projects by using Theano Photo by Franck V. on Unsplash In my previous article, I mentioned 13 Data Science libraries for Python and I also …
3 Frequent Mistakes Data Scientists Make In Their Code
Author(s): Brandon Walker Originally published on Towards AI. These are some of the most common mistakes I’ve come across. Eliminating them will make you write faster code, less code, and code with a clear workflow. No matter what language you’re using, if …
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