What is the practical impact?
Author(s): Francisco Utrera Originally published on Towards AI. We discovered a novel way to use adversarially-trained deep neural networks (DNNs) in the context of transfer learning to quickly achieve higher accuracy on image classification tasks — even when limited training data is …
Adversarially-Trained Deep Nets Transfer Better
Author(s): Francisco Utrera Machine Learning What is the practical impact? We discovered a novel way to use adversarially-trained deep neural networks (DNNs) in the context of transfer learning to quickly achieve higher accuracy on image classification tasks — even when limited training data is …
Implement a Neural Network from Scratch with NumPy
Author(s): Dorian Lazar Originally published on Towards AI. Background image source: Wikimedia Commons I think that the best way to really understand how a neural network works is to implement one from scratch. That is exactly what I going to do through …
Implement a Neural Network from Scratch with NumPy
Author(s): Dorian Lazar … a thing that is not as hard as you may think Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
COVID-19 Lockdown Impact Analysis
Author(s): Saiteja Kura Originally published on Towards AI. Analyze how the COVID-19 lockdown has effected daily movement using Google’s Community Mobility data. Photo by Falaq Lazuardi on Unsplash LOCKDOWN! I never heard of this word until March 2020. I was startled by …
Python Basics — 3: If Statements, User Input, While Loop
Author(s): Durgesh Samariya Originally published on Towards AI. Day 3 of 100 Days of Machine Learning Photo by Pakata Goh on UnsplashIf StatementConditional TestsIf-Elif-Else StatementUser InputWhile LoopBreak and Continue in the loop If statements are used to check conditions. Let’s have a …
Machine Learning is Conquering Explicit Programming
Author(s): Vaibhav Khandelwal Machine Learning, Opinion Are machines better than humans? Photo by Lukas on Unsplash Before we proceed further to this post let us first understand what is a binary classification. So let’s understand this by a very simple instance. You are at …
Automation Using Google-Assistant
Author(s): Santhosh Bandaru Originally published on Towards AI. Technology Automating our home appliances is a bit interesting. So let’s see how we can automate them with google-assistant. from shutterstock.com If you are an excited geek and want to automate your home, here …
Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints
Author(s): Akshansh Mishra Originally published on Towards AI. Engineering, Machine Learning Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints Friction Stir Welding process is an advanced solid-state joining process which finds application in various industries …
Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded…
Author(s): Akshansh Mishra Engineering, Machine Learning Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints Friction Stir Welding process is an advanced solid-state joining process which finds application in various industries like automobiles, manufacturing, aerospace, and railway firms. …
How do Neural Networks learn?
Author(s): Dorian Lazar Going downhill on the loss landscape Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Bias & Variance in Machine Learning
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Etienne Girardet on Unsplash Linear Regression is a machine learning algorithm that is used to predict a quantitative target, with the help of independent variables that are modeled in a linear manner, …
Bias & Variance in Machine Learning
Author(s): Shaurya Lalwani Machine Learning Photo by Etienne Girardet on Unsplash Linear Regression is a machine learning algorithm that is used to predict a quantitative target, with the help of independent variables that are modeled in a linear manner, to fit a line …
Google Stock prediction using Multivariate LSTM Neural Network
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Interpolation Not long ago I published a similar article on how to use LSTMs to make Stock predictions using a Vanilla Neural Network. Because I wanted to minimize the complexity of the problem, I …
NLP News Cypher | 07.26.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 07.26.20 Primus The Liber Primus is unsolved to this day. A book of 58 pages written in Runes, …
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