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 …
Automation using Google-Assistant
Author(s): Santhosh Bandaru Automating our home appliances is a bit interesting. So let’s see how we automate them with google-assistant. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Architecture and Implementation of LeNet-5
Last Updated on July 30, 2020 by Editorial Team Author(s): Vaibhav Khandelwal Deep Learning Demystifying the oldest Neural Network Architecture of LeNet-5 Photo from Faz.net This very old neural network architecture was developed in 1998 by a French-American computer scientist Yann André LeCun, Leon …
Building a Custom Image Dataset for an Image Classifier
Author(s): Dhilip Subramanian Showcasing an easy way to build a custom image dataset using google images. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
Google Stock prediction using Multivariate LSTM
Author(s): Michelangiolo Mazzeschi Using a Vanilla LSTM to predict Google Stock prices Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Mythbusting 5G
Author(s): Jasper Ruijs — A thoughtful overview of the heated debate Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Digit Classification using Tensorflow, Keras
Author(s): Michelangiolo Mazzeschi Full code available at my repo. Sources at this link. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …