A small collection of basic neural networks for different tasks using pytorch.
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Updated
Jul 2, 2023 - Python
A small collection of basic neural networks for different tasks using pytorch.
Three simple feedforward neural networks.
Improving Prediction of Daily Visits of Wikipedia Mathematics Topics using Graph Neural Networks
Recognize color with a neural network
ANN based chat bot system
This is introduction to PyTorch by examples
Understanding Neural Networks
Perceptron, Pseudo Inverse Linear Classifier, SGD, SVM, Batch Gradient Descent, Minibatch Gradient Descent with tensorflow
Trained NN on Fashion-Mnist for FSU machine learning class
Recurrent neural network for short-term market price prediction using TensorFlow
Minimalistic Multiple Layer Neural Network from Scratch in Python.
Tensorflow and Python neural network implementations
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
A TensorFlow implementation of TrafficLightNeuralNetwork (ANN-based Traffic Light Controller).
An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.
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