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Deep Learning with Yacine on MSN2d
20 Activation Functions in Python for Deep Neural Networks | ELU, ReLU, Leaky ReLU, Sigmoid, Cosine
Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...
IEEE3d
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification
Abstract: Deep learning (DL) has been widely investigated in a vast majority ... To address this question, we propose a novel geometric DL (GDL) framework called Tensor-CSPNet, which characterizes ...
GitHub9d
Causal Inference and Discovery in Python
Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing ...
GitHub11d
Hands-on Unsupervised Learning Using Python
This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many ...
IEEE15d
Optimal power flow based on physical-model-integrated neural network with worth-learning data generation
Abstract: Fast and reliable solvers for optimal power flow (OPF) problems are attracting surging research ... we propose an OPF solver based on a physical-model-integrated NN with worth-learning data ...
C&EN29d
DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...