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KEP/PNAE
Application Design Principles
Guarantors: Ing. Petr Kropík, Ph.D.
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Course literature
KEP/PNAE
-IS/STAG
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- https://www.kaggle.com/
- https://www.hobrasoft.cz/cs/blog/bravenec/neuronova-sit
- https://scikit-learn.org/stable/
- https://www.researchgate.net/publication/257420602_Microcontroller_Implementation_of_a_Multi_Objective_Genetic_Algorithm_for_Real-Time_Intelligent_Control
- https://www.mathworks.com/products/deep-learning.html
- https://www.mathworks.com/products/embedded-coder.html?s_tid=srchtitle
- https://www.mathworks.com/products/vehicle-network.html?s_tid=srchtitle
- http://data.maleskoly.info/
- https://github.com/rejcom/maps
- https://www.analyticsvidhya.com/blog/2019/05/understanding-visualizing-neural-networks/
- https://dspace.cvut.cz/bitstream/handle/10467/66505/F8-BP-2016-Dragomirecky-Alan-thesis.pdf?sequence=1&isAllowed=y
- https://en.wikipedia.org/wiki/Convolutional_neural_network
- https://machinelearningmastery.com/
- https://pymc-devs.github.io/pymc/
- http://seaborn.pydata.org/index.html
- http://deeplearning.net/software_links/
Last updated:
01.02.2021
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Studijní materiály
Does not contain documents.
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