A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
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Updated
Dec 8, 2022 - C#
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
一文彻底搞懂BP算法:原理推导+数据演示+项目实战
A tiny neural network 🧠
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
matrix square root and its gradient
Back Propagation, Python
Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.
Efficiently performs automatic differentiation on arbitrary functions. Basically a rudimentary version of Tensorflow.
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Neural Network in pure PHP
Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose
Neural network/Back Propagation implemented from scratch for MNIST.从零开始实现神经网络和反向传播算法,识别MNIST
Training an artificial neural network using back-propagation on MNIST dataset
Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks
MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy
Multi-layered Convolutional Neural Network written in C++11
A basic implementation of a neural network in java, with back-propagation. Created for learning purposes.
BSc Thesis at FER-2019/20 led by doc. dr. sc. Marko Čupić
🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.
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