Deep Learning with Yacine on MSN

Digit recognition with deep learning — PyTorch beginner project

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...
Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
GitHub

KevinLikesCodingMC/PyTorch-MNIST-Tutorial

PyTorch-MNIST-Tutorial/ ├── LICENSE ├── model.pth ├── model.py ├── README.md ├── test.py ├── train.py ├── utils.py ├── demo.py ├── mnist_train.csv └── mnist_test.csv ...
GitHub

A PyTorch native platform for training generative AI models

torchtitan is a PyTorch native platform designed for rapid experimentation and large-scale training of generative AI models. As a minimal clean-room implementation of PyTorch native scaling techniques ...
IEEE

AI-Driven Energy Optimization: Household Power Consumption Prediction With LSTM Networks and PyTorch-Ray Tune in Smart IoT Systems

Abstract: Energy optimization is critical in smart home systems and IoT networks, necessitating innovative models that reduce energy use. This research presents two Long Short-Term Memory (LSTM) ...
IEEE

Tutorial: Analog Circuit Design in Bipolar-CMOS-DMOS (BCD) Technologies

Abstract: Bipolar-CMOS-DMOS (BCD) technologies enable applications of high industrial interest, whereby high-voltage and highpower circuits are combined with high-density digital logic on a single die ...