CSV
Deep Learning Models - CSV
Deep learning models are AI technologies that learn complex patterns using multi-layer neural networks. CNNs excel at image processing, RNNs at sequential data, Transformers at natural language processing, GANs at generative modeling, and Autoencoders at representation learning, forming the foundation of modern AI systems.
deep learning
neural networks
machine learning
AI
CNN
RNN
Transformer
GAN
Autoencoder
code,slug,name,description,category
CNN,convolutional-neural-network,Convolutional Neural Network,A neural network designed for processing spatial data such as images and video.,Image Processing
RNN,recurrent-neural-network,Recurrent Neural Network,A neural network designed for processing sequential and temporal data.,Sequential Processing
Transformer,transformer,Transformer,A neural network architecture using self-attention mechanism for parallel processing.,Natural Language Processing
GAN,generative-adversarial-network,Generative Adversarial Network,A model where two networks (generator and discriminator) compete to generate data.,Generative Model
Autoencoder,autoencoder,Autoencoder,An unsupervised learning model that compresses and reconstructs input data.,Representation Learning