deep learning model
C4177
concept
A deep learning model is a computational architecture composed of multiple layers of interconnected processing units (neurons) that automatically learn hierarchical representations from data to perform tasks such as classification, prediction, or generation.
All labels observed (76)
| Label | Occurrences |
|---|---|
| deep learning model canonical | 36 |
| large language model | 22 |
| neural network architecture | 20 |
| Transformer | 16 |
| artificial intelligence system | 15 |
| deep reinforcement learning algorithm | 12 |
| neural network model | 11 |
| deep generative model | 8 |
| autoregressive language model | 7 |
| deep learning model architecture | 7 |
| transformer-based model | 6 |
| NASNet variant | 5 |
| foundation model | 5 |
| model-free reinforcement learning method | 5 |
| autoregressive model | 4 |
| machine learning model | 4 |
| Transformer-based model | 3 |
| artificial intelligence model | 3 |
| artificial neural network architecture | 3 |
| generative model | 3 |
| sequence-to-sequence model | 3 |
| Inception architecture variant | 2 |
| VGG architecture variant | 2 |
| artificial intelligence model series | 2 |
| attention-based model | 2 |
| convolutional neural network | 2 |
| denoising autoencoder | 2 |
| image classification architecture | 2 |
| large multimodal model | 2 |
| latent variable model | 2 |
| neural architecture search result | 2 |
| neural network | 2 |
| AI model | 1 |
| Inception architecture version | 1 |
| OpenAI model | 1 |
| TensorFlow model artifact | 1 |
| autoencoder architecture | 1 |
| conditional generative model | 1 |
| contrastive learning model | 1 |
| deep Q-network | 1 |
| deep contextualized word representation model | 1 |
| deep learning architecture | 1 |
| deep learning solution | 1 |
| deep learning system | 1 |
| deep learning-based graphics technology | 1 |
| deep neural network architecture | 1 |
| deep reinforcement learning architecture | 1 |
| differentiable computer model | 1 |
| discrete latent variable model | 1 |
| distilled model | 1 |
| encoder-decoder model | 1 |
| flow-based generative model | 1 |
| generative artificial intelligence model | 1 |
| generative neural network model | 1 |
| generative pre-trained transformer | 1 |
| human pose estimation model | 1 |
| instance segmentation model | 1 |
| keypoint detection model | 1 |
| lightweight neural network architecture | 1 |
| machine learning model architecture | 1 |
| multimodal language model | 1 |
| multimodal machine learning model | 1 |
| multimodal neural network model | 1 |
| neural machine translation model | 1 |
| neural network based model | 1 |
| neural network model family | 1 |
| neural network-based system | 1 |
| on-device AI model | 1 |
| pretrained model | 1 |
| representation learning model | 1 |
| residual network | 1 |
| self-supervised learning model | 1 |
| text-to-image generative model | 1 |
| transformer model | 1 |
| variational autoencoder | 1 |
| vision-language model | 1 |
Instances (165)
| Instance | Via concept surface |
|---|---|
| Jabberwacky | artificial intelligence system |
| Cleverbot | artificial intelligence system |
| Transformer | neural network architecture |
|
Tom B. Brown et al.
surface form:
GPT-3
|
large language model |
| GPT series | artificial intelligence model series |
| Inception architecture | deep learning model architecture |
| Google Gemini | generative artificial intelligence model |
| Anthropic Claude | large language model |
| Sideswipe | Transformer |
| Ironhide | Transformer |
| Ratchet | Transformer |
| Wheelie | Transformer |
| Soundwave | Transformer |
| Evac | Transformer |
| Devastator | Transformer |
| LeNet | — |
| DALL·E | text-to-image generative model |
| Codex | artificial intelligence system |
| GPT-2 | large language model |
| GPT-3.5 | large language model |
| GPT-3 | large language model |
| GPT-4 | large language model |
| Rainbow DQN | deep reinforcement learning algorithm |
| PixelCNN | deep generative model |
| WaveRNN | neural network architecture |
| WaveGlow | neural network model |
| PixelRNN | deep generative model |
| Grok | large language model |
|
Aaron van den Oord
surface form:
WaveNet
|
deep generative model |
| Elmo | deep contextualized word representation model |
| AlphaGo Zero | artificial intelligence system |
| deep feedforward networks | artificial neural network architecture |
| Hearsay speech understanding system | artificial intelligence system |
| GEE-H | large language model |
| Helmholtz machine | generative neural network model |
| Show and Tell: A Neural Image Caption Generator | — |
| Pointer Networks | neural network architecture |
|
Neural Turing Machines (contributions)
surface form:
Neural Turing Machines
|
neural network architecture |
| Deep Convolutional GAN | — |
| Wasserstein GAN | deep generative model |
| CycleGAN | — |
| StyleGAN | — |
| Conditional GAN | conditional generative model |
| Progressive GAN | — |
| ResNeXt | — |
|
Jian Sun
surface form:
ResNet
|
deep neural network architecture |
| AlphaGo | artificial intelligence system |
| AlphaFold | artificial intelligence system |
| Atari deep Q-network | deep reinforcement learning algorithm |
| WaveNet | deep generative model |