GitHub - AxilleasGalanis/Neuro-Fuzzy-Computing-Exercises: Theory and practice of neural networks, deep learning and fuzzy logic. Excercises based on the course ECE447 of University of Thessaly.

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Theory and practice of neural networks, deep learning and fuzzy logic. Excercises based on the course ECE447 of University of Thessaly.

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Course Syllabus:

Neural Networks Architectures:

Feedforward
Recurrent
Hebbian rule
Radial Basis
Competitive (SOM, LVQ)
Convolutional
Deep architectures
Optimization methods

Fuzzy Logic & Fuzzy Subset Theory

Instructor:

Dimitrios Katsaros

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Theory and practice of neural networks, deep learning and fuzzy logic. Excercises based on the course ECE447 of University of Thessaly.

deep-neural-networks deep-learning convolutional-neural-networks hebbian-learning competitive-learning feedforward-neural-networks reccurent-neural-networks oprimization radial-basis

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