Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...
Abstract: To address the limitations of low accuracy and error-prone classification in traditional maximum likelihood methods, this study uses three Landsat images from Fuyang City, China (2015, 2019, ...
Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...