Deep Learning with Yacine on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, ...
Semiconductor Engineering

ONNX And Python To C++: State-Of-The-Art Graph Compilation

How a NPU programming model can boost the ability to port new models onto state-of-the-art embedded silicon.
IEEE

Bayesian Meta Random Graph Implicit Enhanced Network for Lithium-Ion Batteries Remaining Useful Life Prediction With Few-Shot and Uncertainty Interference

Abstract: Accurately predicting and evaluating the remaining useful life (RUL) of lithium-ion batteries (LIBs) is of great significance to develop a maintenance program for replacing batteries ...
IEEE

Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach With Novel Metrics

Abstract: Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The ...
C&EN

A Multi-Stage Graph Neural Network–Physics-Informed Neural Network (GNN–PINN) Framework for Thermodynamic Property Prediction

Department of Chemistry and Chemical Engineering, Education and Research Center for Smart Energy and Materials, Inha University, Incheon 22212, Republic of Korea ...