A C++ implementation of a Neural Network Structure.
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Updated
Apr 14, 2017 - C++
A C++ implementation of a Neural Network Structure.
Realized forward propagation of Neural Network using C language
Multilayered backpropagation neural network using c++
Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.
Matrix-Vector Library Designed for Neural Network Construction. cuda (gpu) support, openmp (multithreaded cpu) support, partial support of BLAS, expression template based implementation PTX code generation identical to hand written kernels, and support for auto-differentiation
In this project I have implemented the forward function of a Neural Network composed of sparsely connected layers. In order to parallelize the forward function I have built two implementation: one uses OpenMP and the other uses CUDA.
Neural network that reads handwritten numbers.
Adaptive neural net. Feed forward/backProp(perceptron).
Guitar plugin made with JUCE that uses neural networks to emulate a tube amplifier.
A basic neural network written in C++ that can calculate the expected output of an xor between two numbers.
My first ML sandbox
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