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Deep Learning with Yacine on MSN9h
Build RMSProp From Scratch – Python Deep Learning Tutorial
Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and ...
Mixture-of-recursions delivers 2x faster inference—Here’s how to implement it
Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...
IEEE1mon
Design and Implementation of a Light-Weight Channel Vector Classifier ...
Machine Learning (ML) is recently considered a key technology for bringing outstanding performance to wireless communications. Conventional research has highlighted the potential of Support Vector ...
IEEE9mon
Automated Generation of Optimized Code Implementing SVM models on GPUs
Deploying Support Vector Machine (SVM) models is challenging, since these contain complex math and logic, and also can be composed of a large number of real-valued coefficients; therefore, when ...
marktechpost1y
Researchers from the University of Pennsylvania and Vector Institute ...
Researchers from the University of Pennsylvania and Vector Institute Introduce DataDreamer: An Open-Source Python Library that Allows Researchers to Write Simple Code to Implement Powerful LLM ...
GitHub3y
creating-a-simple-binary-svm-classifier-with-python-and-scikit-learn.md
Using Python and Scikit-learn, we generated a dataset that is linearly separable and consists of two classes - so, in short, a simple and binary dataset. We then created a SVM with a linear kernel for ...
GitHub5y
creating-a-simple-binary-svm-classifier-with-python-and-scikit-learn.md
--- title: "Creating a simple binary SVM classifier with Python and Scikit-learn" date: "2020-05-03" categories: - "frameworks" - "svms" tags: - "classification" - "classifier" - "python" - ...