Implementing neural networks from scratch for a deeper understanding of concepts, featuring a Jupyter notebook with derivative-based implementations.
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Updated
Aug 2, 2024 - Jupyter Notebook
Implementing neural networks from scratch for a deeper understanding of concepts, featuring a Jupyter notebook with derivative-based implementations.
Thoughts, ideas, ramblings, and stories about ponies.
Group work on MultiLayer Perceptron (MLP) and Hyperparameters Optimization
Lightning fast C++/CUDA neural network framework
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
Implementação do Trabalho de conclusão de curso, com o tema definido "Aproximação da cinemática inversa de um robô manipulador didático através de algoritmos de aprendizado de máquina"
A resource-conscious neural network implementation for MCUs
✨ Solve multi_dimensional multiple knapsack problem using state_of_the_art Reinforcement Learning Algorithms and transformers
Training MLP and CNN on Fashion-MNIST dataset
Training MLP and CNN on MNIST dataset
Creating MLP AI Model to Valuate Real Estate Prices
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Different Tasks with Neural Networks
KAN meets Gram Polynomials
Se realizo para la prediccion de pronostico de temperatura minima en melbourne entrenando modelos LSTM,MLP,1D y transformers para realizar cual de estos da resultados mejores.
This project is an introduction to artificial neural networks, with the implementation of a multilayer perceptron
Tensors and dynamic Neural Networks in Mojo
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