backpropagation neural networks fortran
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Updated
Sep 5, 2023 - Fortran
backpropagation neural networks fortran
I decided to create a simple back propagation neural network from scratch in C++ as part of my final project for my Scientific Computing course (DATASCI 2G03).
Implementação do algoritmo de retropropagação para treinamento de redes neurais. Este projeto aborda a otimização de modelos de aprendizado profundo para melhorar a precisão das previsões.
Character-level Long Short Term Memory Recurrent Neural Network implemented from scratch in Python
Python implementation of a simple MLP without using external packages
Neural network in C# with fully connected layers and optionally randomized weights and biases. Provides feed forward method for prediction and back propagation implementation for training
Implementación de un algoritmo genético que busca optimizar los hiperparámetros de una red neuronal artificial usada para clasificación
My implementation of Andrej Kaparthy's Micrograd library for back propagation and simple neural net training
🥼Clothes Classification, Artificial Intelligence course, University of Tehran
Heart attack prediction using first derivative
a dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples.
NN project to understand from scratch how internally Weights are applied, Epochs, Backpropagation, Error calculation, Gradient.
MNIST Predictor using Neural Network (no TF/PyTorch, just NumPy)
My Master Thesis on Temperature and Humidity Profile Retrieval using Neural Network
Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр
Spring 2021 Machine Learning (CS 181) Homework 3
Neural backpropagation with examples and training (Java)
Backpropagation for a toy MLP with one hidden layer.
A from scratch Python based small autograd repo implementing backpropagation with ability to implement Neural Networks.
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