Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...

ABSTRACT: This paper presents an algorithm based on the wavelet decomposition, for feature extraction from the Electrocardiogram (ECG) signal and recognition of three types of Ventricular Arrhythmias ...

Error (or uncertainty) propagation is the practice of analyzing and accounting for the effect of numeric quantities’ uncertainties on the results of functions that ...

Love the look of your snake plant and wish you had a few more? You might be surprised to learn how simple it is to get new plants for free using nothing but a glass jar. Snake plants (Dracaena ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Abstract: Recent empirical evaluation has shown that the performance of collective classification models can vary based on the amount of class label information available for use during inference. In ...

Neural networks are increasingly integrated into scientific discovery, where input data reduction and model quantization play a key role in accelerating inference ...