Deep Learning with Yacine on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...
Deep Learning with Yacine on MSN

Understanding Forward Propagation in Neural Networks with Python – Step by Step

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
TheServerSide

SQLite tutorial for beginners

SQLite has an incredibly small footprint. The database itself, its DLLs and the complimentary diff and analyzer tools are less than 15 MB in size. It's perfect for small mobile devices, advanced ...
Wired

Liquid AI Is Redesigning the Neural Network

All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. Learn more. Liquid ...
IEEE

Parametric Activation Functions for Neural Networks: A Tutorial Survey

Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
GitHub

PyTorch Neural Networks Tutorial

This repository contains a tutorial on building neural network models using PyTorch, along with comparisons with TensorFlow. It covers the basics of PyTorch, including tensors, operations, autograd, ...