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 …
Deep Hashing for Similarity Search
Author(s): Rutuja Shivraj Pawar DEEP LEARNING, COMPUTER VISION An overview of the novel deep hashing neural networks from the literature Photo by Tolga Ulkan on Unsplash In recent years Approximate Nearest Neighbor (ANN) [1] search has become a prominent topic of research to effectively …
Generalized Additive Models with R
Author(s): Eugenia Anello Balance interpretability and predictive power through non-linear models Continue reading on Towards AI » Published via Towards AI …
How to Easily Scrape Podcast Data Using RSS Feeds
Author(s): John Bica With access to RSS feeds-getting Podcast data using R is easy and can be done in 5 simple steps Continue reading on Towards AI » Published via Towards AI …
Topic Modeling with NMF in Python
Author(s): George Pipis A practical example of Topic Modelling with Non-Negative Matrix Factorization in Python Continue reading on Towards AI » Published via Towards AI …
Things to Internet-of-Things (IoT)
Author(s): Rajesh Verma The IoT device, Gateway, Cloud, and the MQTT Protocol Continue reading on Towards AI » Published via Towards AI …
AWS S3 Read Write Operations Using the Pandas’ API
Author(s): Vivek Chaudhary Programming AWS S3 Read Write Operations Using the Pandas API The Objective of this blog is to build an understanding of basic Read and Write operations on Amazon Web Storage Service “S3”. To be more specific, read a CSV file …
Fully Explained K-means Clustering with Python
Author(s): Amit Chauhan Unsupervised part in machine learning for group similarities. Continue reading on Towards AI » Published via Towards AI …
12 Factors of reproducible Machine Learning in production
Author(s): Ben Koller Machine Learning The last two decades have yielded us some great understandings of Software Development. A big part of that is due to the emergence of DevOps and its wide adoption throughout the industry. Leading software companies follow identical …
Beginner’s Guide to NumPy for Data Science
Author(s): Indhumathy Chelliah Learn about NumPy from scratch Continue reading on Towards AI » Published via Towards AI …
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 …
The AI-Powered Online Fitting Room: VOGUE
Author(s): Louis (What’s AI) Bouchard Google used a modified StyleGAN2 architecture to create an online fitting room where you can automatically try-on any pants or shirts you… Continue reading on Towards AI » Published via Towards AI …
Why Moving to the Cloud is Inevitable
Author(s): Tim Cvetko The Reason Why Cloud Services Have The Upper Hand In The Big Data Process Continue reading on Towards AI » Published via Towards AI …
How GANs Are Capable of Creating Such High-Resolution Images
Author(s): Tim Cvetko Progressive growing as a solution to DCGAN creating high resolution images Continue reading on Towards AI » Published via Towards AI …
The Strengths & Weaknesses of Face2Vec (FaceNet)
Author(s): Jacky Wong Computer Vision Face2Vec is the modern way of identifying the same/similar faces. Face2Vec refers to the process of transforming faces to vectors, a process named vectorization that transforms objects/images/text into numerical representations (if you would like to learn more, …
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