Search Results for "perceptron c"
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Showing 7 open source projects for "perceptron c"
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Our computer monitoring software allows employees, field contractors, and freelancers to manually clock in when they begin working on an assignment. The application will take screenshots randomly or at set intervals, which allows employers to observe the work process. The application only tracks activity when the employee is clocked in. No spying, only transparency.
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SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared... -
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Dive-into-DL-TensorFlow2.0
Dive into Deep Learning
This project changes the MXNet code implementation in the original book "Learning Deep Learning by Hand" to TensorFlow2 implementation. After consulting Mr. Li Mu by the tutor of archersama , the implementation of this project has been agreed by Mr. Li Mu. Original authors: Aston Zhang, Li Mu, Zachary C. Lipton, Alexander J. Smola and other community contributors. There are some differences between the Chinese and English versions of this book . This project mainly focuses on TensorFlow2... -
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Machine Learning:Perceptron
Minimal version of the perceptron algorithm.Coded the simpler way.
A minimal version of the perceptron algorithm is implemented in C#. Coded for ease of understanding the referred to algorithm. Enter your info-press the learn button-then type in new info which the program will try and recognnise. There are some typos in the text displayed-but the code is correct. -
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nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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DropoutMLP
A Multi-Layer Perceptron with Dropout
This project was derived from the following project on CCodeChamp by MR CODER. http://www.ccodechamp.com/c-program-of-multilayer-perceptron-net-using-backpropagation/ I rewrote the project in C++ and and made it more object oriented. Then, I added the capability to use dropout on the hidden layers as specified by Geoffrey Hinton et. al. in "Improving neural networks by preventing co-adaptation of feature detectors" (2012). http://www.cs.toronto.edu/~hinton/absps/dropout.pdf I found... -
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Leark is a Data Mining library developed in C#.NET. It contains several methods for ranking web documents described with a set of normalized features, and a feature selection algorithm. The methods are based on perceptron and clustering.
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mozg is a flexible, fast neurolibrary. It allows one to create, learn and use multi-layer perceptron (MLP), which is the most popular artificial neural network (ANN). This work is based on library originally written by Alexy Filin.
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