About Keras
Getting started
Developer guides
Keras 3 API documentation
Keras 2 API documentation
Code examples
Computer Vision
Natural Language Processing
Structured Data
Timeseries
Generative Deep Learning
Audio Data
Reinforcement Learning
Graph Data
Quick Keras Recipes
Parameter-efficient fine-tuning of Gemma with LoRA and QLoRA
Float8 training and inference with a simple Transformer model
Serving TensorFlow models with TFServing
Keras debugging tips
Customizing the convolution operation of a Conv2D layer
Trainer pattern
Endpoint layer pattern
Reproducibility in Keras Models
Writing Keras Models With TensorFlow NumPy
Simple custom layer example: Antirectifier
Estimating required sample size for model training
Memory-efficient embeddings for recommendation systems
Creating TFRecords
Packaging Keras models for wide distribution using Functional Subclassing
Approximating non-Function Mappings with Mixture Density Networks
Probabilistic Bayesian Neural Networks
Knowledge distillation recipes
Evaluating and exporting scikit-learn metrics in a Keras callback
How to train a Keras model on TFRecord files
KerasTuner: Hyperparameter Tuning
KerasHub: Pretrained Models
KerasCV: Computer Vision Workflows
KerasNLP: Natural Language Workflows
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Code examples
/ Quick Keras Recipes
Quick Keras Recipes
Keras usage tips
V3
Parameter-efficient fine-tuning of Gemma with LoRA and QLoRA
V3
Float8 training and inference with a simple Transformer model
V3
Keras debugging tips
V3
Customizing the convolution operation of a Conv2D layer
V3
Trainer pattern
V3
Endpoint layer pattern
V3
Reproducibility in Keras Models
V3
Writing Keras Models With TensorFlow NumPy
V3
Simple custom layer example: Antirectifier
V3
Packaging Keras models for wide distribution using Functional Subclassing
Serving
V3
Serving TensorFlow models with TFServing
ML best practices
V3
Estimating required sample size for model training
V3
Memory-efficient embeddings for recommendation systems
V3
Creating TFRecords
Other
V2
Approximating non-Function Mappings with Mixture Density Networks
V2
Probabilistic Bayesian Neural Networks
V2
Knowledge distillation recipes
V2
Evaluating and exporting scikit-learn metrics in a Keras callback
V2
How to train a Keras model on TFRecord files