pascalissime_nn
A pyTorch Take on the Neuron-Network Serie from 'Pascalissime'
- Quiet · last change 4-2-2022
- ★ 1 on GitHub
README
This is an attempt at reproducing the articles from the french magazine 'Pascalissime' about Neural Networks with Python and PyTorch.
Original Listings:
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Issue46:
- recneur3: Static Neural network definition, edge recognition.
Issue47:
- retropr2: Back propapagtion
Issue48:
- robotl1: Kohonen Network, optimal path in a restricted area
- kohonen3: Mesh Unfolding.
- carre3: Another mesh unfolding.
- unun: One-dimentional linearisation.
Issue49:
- voyage4: Applying kohonen to the traveler's problem.
Issue50:
- art14: Adaptative Resonance Theory: classification and recognition of characters.
Issue51:
- bam: Associative neural networtk
- chiffres: Hopfield Network for digit recognition.
Issue52:
- bolzdem3: Boltzmann Network
Issue53:
- neo31: Training of the first layer of a neocognitron: recognition of elementary segments (layer 1)
Issue 54:
- neo4: neocognitron layer two and three
- neo51: same as above, but with Graph
Issue 55:
- contrep: Back-propagation ? (Hecht Nielsen)
Issue 56:
- simpneu2: Simplexe solving using neural network.
Issue57:
- spattemp: Space temporal analysis.
Issue 58:
- brain4: Associative neural network
Issue 59:
- founeu: Fourier transform through neural network
Issue 60:
- radial: Radial basis function neural network
Issue 61:
- cascade2: Cascade correlation learning architecture
