SQLite has an incredibly small footprint. The database itself, its DLLs and the complimentary diff and analyzer tools are less than 15 MB in size. It's perfect for small mobile devices, advanced ...

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Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This repository contains a tutorial on building neural network models using PyTorch, along with comparisons with TensorFlow. It covers the basics of PyTorch, including tensors, operations, autograd, ...

ABSTRACT: Intelligent equipment is a kind of device that is characterized by intelligent sensor interconnections, big data processing, new types of displays, human-machine interaction and so on for ...

" (conv1): Conv2d(1, 6, kernel_size=(5, 5), stride=(1, 1))\n", " (conv2): Conv2d(6, 16, kernel_size=(5, 5), stride=(1, 1))\n", " (fc1): Linear(in_features=400, out ...