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Getting started Developer guides 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 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 Packaging Keras models for wide distribution using Functional Subclassing Approximating non-Function Mappings with Mixture Density Networks Serving TensorFlow models with TFServing Estimating required sample size for model training Memory-efficient embeddings for recommendation systems Creating TFRecords 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 Keras 3 API documentation Keras 2 API documentation KerasTuner: Hyperparam Tuning KerasHub: Pretrained Models KerasRS
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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 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 Packaging Keras models for wide distribution using Functional Subclassing Approximating non-Function Mappings with Mixture Density Networks Serving TensorFlow models with TFServing Estimating required sample size for model training Memory-efficient embeddings for recommendation systems Creating TFRecords 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
► 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
V3
Approximating non-Function Mappings with Mixture Density Networks

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
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

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