Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
GitHub

Quanser SDK Examples

The Quanser SDK Examples repository provides C and Python examples utilizing the Quanser HIL API (Hardware Interfacing Layer) and Quanser Stream API (for communications). The Quanser SDK Examples are ...
GitHub

SDK for Hyperliquid API trading with Python.

[Optional] Generate a new API key for an API Wallet See examples for more complete examples. You can also checkout the repo and run any of the examples after ...
IEEE

Improving KNN Algorithm Efficiency Based on PCA and KD-tree

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...
IEEE

Private-kNN: Practical Differential Privacy for Computer Vision

Abstract: With increasing ethical and legal concerns on privacy for deep models in visual recognition, differential privacy has emerged as a mechanism to disguise membership of sensitive data in ...