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Getting started
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Computer Vision
Natural Language Processing
Structured Data
Timeseries
Generative Deep Learning
Denoising Diffusion Implicit Models
A walk through latent space with Stable Diffusion 3
DreamBooth
Denoising Diffusion Probabilistic Models
Teach StableDiffusion new concepts via Textual Inversion
Fine-tuning Stable Diffusion
Variational AutoEncoder
GAN overriding Model.train_step
WGAN-GP overriding Model.train_step
Conditional GAN
CycleGAN
Data-efficient GANs with Adaptive Discriminator Augmentation
Deep Dream
GauGAN for conditional image generation
PixelCNN
Face image generation with StyleGAN
Vector-Quantized Variational Autoencoders
A walk through latent space with Stable Diffusion
Neural style transfer
Neural Style Transfer with AdaIN
GPT2 Text Generation with KerasHub
GPT text generation from scratch with KerasHub
Text generation with a miniature GPT
Character-level text generation with LSTM
Text Generation using FNet
Music Generation with Transformer Models
Drug Molecule Generation with VAE
WGAN-GP with R-GCN for the generation of small molecular graphs
Density estimation using Real NVP
Audio Data
Reinforcement Learning
Graph Data
Quick Keras Recipes
Keras 3 API documentation
Keras 2 API documentation
KerasTuner: Hyperparam Tuning
KerasHub: Pretrained Models
KerasRS
Get started
Guides
API
Examples
Keras Tuner
Keras RS
Keras Hub
Code examples
Computer Vision
Natural Language Processing
Structured Data
Timeseries
Generative Deep Learning
Denoising Diffusion Implicit Models
A walk through latent space with Stable Diffusion 3
DreamBooth
Denoising Diffusion Probabilistic Models
Teach StableDiffusion new concepts via Textual Inversion
Fine-tuning Stable Diffusion
Variational AutoEncoder
GAN overriding Model.train_step
WGAN-GP overriding Model.train_step
Conditional GAN
CycleGAN
Data-efficient GANs with Adaptive Discriminator Augmentation
Deep Dream
GauGAN for conditional image generation
PixelCNN
Face image generation with StyleGAN
Vector-Quantized Variational Autoencoders
A walk through latent space with Stable Diffusion
Neural style transfer
Neural Style Transfer with AdaIN
GPT2 Text Generation with KerasHub
GPT text generation from scratch with KerasHub
Text generation with a miniature GPT
Character-level text generation with LSTM
Text Generation using FNet
Music Generation with Transformer Models
Drug Molecule Generation with VAE
WGAN-GP with R-GCN for the generation of small molecular graphs
Density estimation using Real NVP
Audio Data
Reinforcement Learning
Graph Data
Quick Keras Recipes
►
Code examples
/ Generative Deep Learning
Generative Deep Learning
Image generation
★
V3
Denoising Diffusion Implicit Models
★
V3
A walk through latent space with Stable Diffusion 3
V2
DreamBooth
V2
Denoising Diffusion Probabilistic Models
V2
Teach StableDiffusion new concepts via Textual Inversion
V2
Fine-tuning Stable Diffusion
V3
Variational AutoEncoder
V3
GAN overriding Model.train_step
V3
WGAN-GP overriding Model.train_step
V3
Conditional GAN
V3
CycleGAN
V3
Data-efficient GANs with Adaptive Discriminator Augmentation
V3
Deep Dream
V3
GauGAN for conditional image generation
V3
PixelCNN
V2
Face image generation with StyleGAN
V2
Vector-Quantized Variational Autoencoders
V3
A walk through latent space with Stable Diffusion
Style transfer
V3
Neural style transfer
V2
Neural Style Transfer with AdaIN
Text generation
★
V3
GPT2 Text Generation with KerasHub
V3
GPT text generation from scratch with KerasHub
V3
Text generation with a miniature GPT
V3
Character-level text generation with LSTM
V2
Text Generation using FNet
Audio generation
V3
Music Generation with Transformer Models
Graph generation
V3
Drug Molecule Generation with VAE
V2
WGAN-GP with R-GCN for the generation of small molecular graphs
Other
V2
Density estimation using Real NVP