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 ...
IEEE

Sparse Bayesian Learning for Switching Network Identification

Abstract: Learning dynamical networks based on time series of nodal states is of significant interest in systems science, computer science, and control engineering. Despite recent progress in network ...
IEEE

Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
GitHub

Bayesian Deep Ensembles for scikit-learn

bde is a user-friendly implementation of Bayesian Deep Ensembles compatible with both scikit-learn and JAX. It exposes estimators that plug into scikit-learn pipelines while leveraging JAX for ...