Model Overfitting? Use L2 Regularization!
Author(s): Danyal Jamil Use this to enhance your Deep Learning models! Continue reading on Towards AI Β» Published via Towards AI …
Simple Linear Regression Tutorial for Machine Learning (ML)
Author(s): Pratik Shukla, Roberto Iriondo Source: Image by the Author. Diving into calculating a simple linear regression and linear best fit with code examples in Python and math in detail This tutorialβs code is available on Github and its full implementation as …
Image Classifier β Zalando Clothing Store using Monk Library
Author(s): Vidya Originally published on Towards AI. Computer Vision This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. Tutorial available on GitHub. …
Create Your Own Harry Potter Short Story Using RNNs and TensorFlow
Author(s): Amisha Jodhani Originally published on Towards AI. What is an RNN? Photo by Rae Tian on Unsplash Still, waiting for your Hogwarts letter? Want to enjoy the feast in the Great Hall? Explore the secret passages in Hogwarts?Buy your first wand …
Dealing with Class Imbalance β Dummy Classifiers
Author(s): Abhijeet Sahoo Originally published on Towards AI. Image credit: https://datascience.aero/ Let me paint a picture for you, you are a beginner to the field of Data Science and have started making your first ML model for predictions and found the accuracy …
This AI Can Generate the Other Half of a Picture Using a GPT Model
Author(s): Louis Bouchard Originally published on Towards AI. A good AI, like the one used in Gmail, can generate coherent text and finish your phrase. This one uses the same principles in order to complete an image! All done in an unsupervised …
The Limits of Deep Learning
Author(s): Frederik Bussler Originally published on Towards AI. Deep Learning: Diminishing Returns? – Semiwiki Photo by Luca Ambrosi on Unsplash GPT-3, the latest state-of-the-art in Deep Learning, achieved incredible results in a range of language tasks without additional training. The main difference …
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 β 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 …
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 Googleβs 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 β 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. Letβs have a …
Automation Using Google-Assistant
Author(s): Santhosh Bandaru Originally published on Towards AI. Technology Automating our home appliances is a bit interesting. So letβs 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 …
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, …
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 …