clamesc/deep-learning-mindmap

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clamesc/deep-learning-mindmap

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Freeplane mindmap based on book "Deep Learning" by Ian Goodfellow, Yoshua Bengio and Aaron Courville.

Training-Neural-Networks-for-Event-Based-End-to-End-Robot-Control

TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks.

Decentralized-Scheduling-Strategy-of-Heating-Systems

RWTH Bachelor’s thesis: Optimization algorithm that balances the residual load in microgrids with heat pumps and combined heat / power units, while maintaining data privacy and economical fairness.

Machine-Learning-in-Medical-Imaging--U-Net

TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.

cpp-mindmap

Freeplane mindmap based on learncpp.com C++ tutorial.

reinforcement-learning-mindmap

Freeplane mindmap based on the "Reinforcement Learning" lecture by David Silver.

ePuck-Box-Pushing

TUM_ARL_SS16: With its proximity sensors the ePuck robot can estimate the relative position of a small box and learn to push it in a given direction using Reinforcement Learning.

Machine-Learning-in-Medical-Imaging--Exercises

TUM_MLMI_SS16: Assignments in different Machine Learning topics .

Jupyter Notebook

machine-learning-mindmap

Freeplane mindmap based on the TUM course "Machine Learning [IN2064]" during WS15/16.

artificial-intelligence-mindmap

Freeplane mindmap based on TUM course "Techniques in Artificial Intelligence [IN2062]" during WS15/16.

Propositional-Logic-Parser

TUM_AI_WS1516: The parser module reads ASCII strings and converts them into propositional logic formula. The entailment module reads two parsed propositional logic formulae A and B, and then it decides whether A != B or not.