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Marcus Chiu's /var/log

Marcus Chiu's /var/log

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ANN - Architectures

ANN - Architectures

Aug 19, 2024

ANN Architectures are composed of multiple ANN Layers

Auto-Regression/Regressor/Regressive (AR) Model
Autoencoders (AE)
Capsule Networks
Convolutional Kolmogorov-Arnold Networks (Convolutional KAN)
Convolutional Neural Networks (CNN) - Translation/Translational/Shift Equivariant/Equivariance/Invariant/Invariance CNN
Dense Networks (Dense Net)
Diffusion Model - Diffusion Probabilistic Model - Score-Based Generative Model
Encoder-Decoder Model
Fast R-CNN
Faster R-CNN
Flow-Based Generative Model
Fully Convolutional Networks (FCN)
Gated Recurrent Neural Networks (Gated RNN)
Gauge-Equivariant Convolutional Neural Networks (CNN)
Generative Adversarial Networks (GAN)
Graph Neural Networks (GNN)
Group Equivariant Convolutional Neural Networks (G-CNN)
Kolmogorov-Arnold Networks (KAN)
Liquid Neural Networks (LNN)
Neocognitron
Neural Turing Machines (NTM)
Pulse-Coupled Neural Networks (PCNN)
Radial Basis Function (RBF) Networks
Recurrent Neural Networks (RNN)
Region-based Convolutional Neural Network (R-CNN)
Shuffle Networks
Spiking Neural Networks (SNN)
Squeeze-and-Excitation Networks (SENets)
Switching Neural Networks (SNN)
Temporal Convolutional Networks (TCN)
Transformer Neural Networks (TNN) - Transformers
Vanilla/Feed-Forward Neural Networks (FNN/FFNN/FFN) - Multi-Layer/Multilayer Perceptrons (MLP)
You Only Look Once (YOLO)

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