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, ...
InfoWorld

Reader picks: The most popular Python stories of 2025

The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...
GitHub

Force estimation of continuum(hyper-redundant) manipulator using LSTM.

# pip module for create virtual environment sudo apt install python3.xx-venv # e.g. python3.10-venv (humble) # make virtual env with --symlink python3 -m venv {env_name} --system-site-packages ...
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 ...
IEEE

Improved 3-D LSTM: A Video Prediction Approach to Long Sequence Load Forecasting

Abstract: Power load forecasting is the foundation of maintaining power grid stability, and can assist in decision-making to reduce operating costs. Fine-grained long sequence load forecasting ...
IEEE

A Hybrid LSTM-Transformer Model for Power Load Forecasting

Abstract: This paper introduces a novel optimized hybrid model combining Long Short-Term Memory (LSTM) and Transformer deep learning architectures designed for power load forecasting. It leverages the ...