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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 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 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 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
► 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

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