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CarsonScott / HSOM

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Hierarchical self-organizing maps for unsupervised pattern recognition

classifier machine-learning deep-neural-networks ai deep-learning neural-network machine-learning-algorithms ml artificial-intelligence artificial classification unsupervised-learning artificial-neural-network self-organizing-map self-organization artificial-intelligence-algorithms multiclass-classification unsupervised-machine-learning unsupervised-clustering classifier-training
  • Updated Dec 20, 2019
  • Python
Deep-Learning-Machine-Learning-AI-TensorFlow-Python

AYIDouble / Deep-Learning-Machine-Learning-AI-TensorFlow-Python

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🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍

python machine-learning deep-neural-networks ai deep-learning tensorflow inputs machine-learning-algorithms artificial-intelligence artificial neural-networks artificial-neural-networks tensor weights multidimensional-arrays summation tensorflow-examples biases outputs understanding-neural-networks
  • Updated Dec 2, 2018
  • Python

rubenandrebarreiro / gpu-cuda-self-organising-maps

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🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU-based implementations of the algorithm against a given CPU-based implementation of the same algorithm and, evaluate and compare the overall performance (speedup, efficiency and cost).

science engineering data-science machine-learning intelligence cuda computer artificial high-performance-computing gpu-acceleration data-analysis artificial-neural-networks nova informatics gpu-computing unsupervised-learning self-organizing-map fct-nova gpu-testing fct-unl
  • Updated Jun 28, 2019
  • C++

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