Supervised Contrastive Learning for Cassava Leaf Disease Classification
Author(s): Dimitre Oliveira Deep Learning Applying deep learning with supervised contrastive learning to detect diseases on cassava leaves. Photo by malmanxx on Unsplash Supervised Contrastive Learning (Prannay Khosla et al.) is a training methodology that outperforms supervised training with cross-entropy on classification tasks.The idea …
An AI Practitioner’s Guide to the Kdrama Start-Up
Author(s): JD Dantes “We got 99.9% accuracy!!!” and other things to point out. From Episode 5. This and succeeding images are screenshots of the author, unless stated otherwise. Well, more of a commentary, really. As a computer engineer with an interest in …
Image De-noising Using Deep Learning
Last Updated on January 23, 2021 by Editorial Team Author(s): Chintan Dave Computer Vision, Deep Learning Photo by Patrick Tomasso on Unsplash Denoising an image is a classical problem that researchers are trying to solve for decades. In earlier times, researchers used filters to …
Deploy Deep Learning Models Using Streamlit and Heroku
Author(s): Vatsal Saglani An effortless way to publish data apps to the internet. Continue reading on Towards AI » Published via Towards AI …
Tweet Topic Modeling Part 4: Visualizing Topic Modeling Results with Plotly
Author(s): John Bica Multi-part series showing how to scrape, preprocess, and apply & visualize short text topic modeling for any collection of tweets Continue reading on Towards AI » Published via Towards AI …
Genetic Algorithm (GA) Introduction with Example Code
Source: Derivative from qimono and comfreak on Pixabay An introduction to genetic algorithms, optimization, and implementations with code examples in Python Author(s): Sujan Shirol, Roberto Iriondo This tutorial will be diving into genetic algorithms in detail and explaining their implementation in Python. We will …
Genetic Algorithm for Trading Strategy Optimization in Python
Author(s): Louis Chan How can GA help cut down problem space and converge towards a better solution? Continue reading on Towards AI » Published via Towards AI …
How To Win Your NHL Pool Without Even Trying
Author(s): Yan Gobeil I am taking part in the NHL pool organized by the Canadian Blind Hockey Association. Machine Learning How I used machine learning to predict the number of points that a hockey player will score this year With the new National …
Estimating the Date of Virus Exposure, Given the Date of Diagnosis
Author(s): Anya Vastava Using Bayesian statistics and Normal distributions to model the coronavirus Continue reading on Towards AI » Published via Towards AI …
Interactive COVID-19 Dashboard With Chatbot and Prediction Capabilities
Author(s): Daksh Trehan Data Visualization A Practical Way to show-off Machine Learning skills and help the globe around. COVID-19 can be marked as the preeminent highlight of the decade, and the vague information spread can be regarded as a matter of concern. Due …
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