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

matlab-deep-learning/fourier-neural-operator

The Fourier Neural Operator (FNO) [1] is a neural operator with an integral kernel parameterized in Fourier space. This allows for an expressive and efficient architecture. Applications of the FNO ...
archive

Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...
GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
www.cs.cmu.edu

MATLAB Tutorial

Available from Computing Services: http://www.cmu.edu/computing/software/all/matlab/download.html You need to be on CMU network or VPN to CMU network to use MATLAB ...
IEEE

Cross Language Compiler Construction From Matlab To Python

Abstract: The domain of cross compiler development pertains to the process wherein code written in one programming language is translated to another so that it may be compatible with another ...
IEEE

Comprehensive Investigation of ANN Algorithms Implemented in MATLAB, Python, and R for Small-Signal Behavioral Modeling of GaN HEMTs

Abstract: Artificial Neural Network (ANN) is frequently utilized for the development of behavioral models of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs). However, exhaustive ...