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, forward propagation, backpropagation, and coding step by step for a hands ...
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 ...
Deep Learning with Yacine on MSN

Backpropagation with automatic differentiation from scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...

Python in Florida woman's backyard a sign of their movement to urban areas

If they reach the ecosystem's carrying capacity in the Everglades, the pythons will spread, and that likely means into ...
IEEE

Predicting Asphalt Pavement Deterioration Under Climate Change Uncertainty Using Bayesian Neural Network

Abstract: Uncertainty in climate change poses challenges in obtaining accurate and reliable prediction models for future pavement performance. This study aimed to develop an advanced prediction model ...