Keras
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Keras es la API de alto nivel para redes neuronales que permite pasar de la idea al experimento en minutos. Con su sintaxis declarativa –functional y subclassing– y el respaldo directo de TensorFlow, acelera tanto la investigación como la puesta en producción de modelos deep learning.
Itrion ha desplegado 275 modelos Keras en producción, abarcando visión, NLP y time‑series con un tiempo medio de prototipado de 48 h y SLA 99,9 %.
48 h
De idea a primer modelo
7×
Aceleración con mixed‑precision
275
Modelos IA en producción
Beneficios clave de Keras
API Functional tersa y callbacks listos
Subclassing API & layers custom
TensorFlow, JAX y PyTorch* (keras‑core)
Export SavedModel / TFLite / TF JS
*Compatibilidad a través del nuevo proyecto keras‑core.
Pipeline Keras by Itrion
compile()fit() & callbacksCallbacks personalizados: early‑stopping, LR scheduler y export metrics to MLflow.
Keras vs PyTorch Lightning
| Aspecto | Keras | PT Lightning |
|---|---|---|
| Paradigma | Declarativo | Subclass orientado CLI |
| Micro‑batching | fit() builtin | Trainer ⚡ auto |
| Mixed‑precision | keras.mixed_precision | AMP native |
| Distribuido | tf.distribute & TPU | DDP / FSDP |
| Export | SavedModel, TFLite, TF JS | TorchScript, ONNX |
Fortalezas de Itrion con Keras
275
Modelos Keras live
18 M
Predicciones/día
7 ×
Speed‑up FP16 mixed
Por qué Itrion para Keras
- • Framework agnostic: migramos Keras a JAX o PyTorch sin reescribir lógica.
- • Cost‑aware: ajustamos batch y mixed‑precision para usar GPU spot.
- • Compliance: TFX pipelines documentados para IA Act UE.
- • Soporte 24/7: On‑call engineering con SLA 15 min respuesta S1.
Keras is the high-level neural network API that enables going from idea to experiment in minutes. With its declarative syntax – functional and subclassing – and direct TensorFlow backing, it speeds up both research and production deployment of deep learning models.
Itrion has deployed 275 Keras models in production, covering vision, NLP, and time-series with an average prototyping time of 48 h and 99.9% SLA.
48 h
From idea to first model
7×
Acceleration with mixed‑precision
275
Models in production
Key benefits of Keras
Concise Functional API and ready callbacks
Subclassing API & custom layers
TensorFlow, JAX and PyTorch* (keras-core)
Export SavedModel / TFLite / TF JS
*Compatibility through the new keras-core project.
Keras pipeline by Itrion
compile()fit() & callbacksCustom callbacks: early-stopping, LR scheduler and export metrics to MLflow.
Keras vs PyTorch Lightning
| Aspect | Keras | PT Lightning |
|---|---|---|
| Paradigm | Declarative | Subclass CLI oriented |
| Micro-batching | fit() builtin | Trainer ⚡ auto |
| Mixed precision | keras.mixed_precision | Native AMP |
| Distributed | tf.distribute & TPU | DDP / FSDP |
| Export | SavedModel, TFLite, TF JS | TorchScript, ONNX |
Itrion strengths with Keras
275
Keras live models
18 M
Predictions/day
7 ×
Speed-up FP16 mixed
Why Itrion for Keras
- • Framework agnostic: we migrate Keras to JAX or PyTorch without rewriting logic.
- • Cost‑aware: we adjust batch and mixed-precision to use GPU spot.
- • Compliance: documented TFX pipelines for EU AI Act.
- • 24/7 support: on-call engineering with SLA 15 min S1 response.
Keras es la API de alto nivel para redes neuronales que permite pasar de la idea al experimento en minutos. Con su sintaxis declarativa –functional y subclassing– y el respaldo directo de TensorFlow, acelera tanto la investigación como la puesta en producción de modelos deep learning.
Itrion ha desplegado 275 modelos Keras en producción, abarcando visión, NLP y time‑series con un tiempo medio de prototipado de 48 h y SLA 99,9 %.
48 h
De idea a primer modelo
7×
Aceleración con mixed‑precision
275
Modelos IA en producción
Beneficios clave de Keras
API Functional tersa y callbacks listos
Subclassing API & layers custom
TensorFlow, JAX y PyTorch* (keras‑core)
Export SavedModel / TFLite / TF JS
*Compatibilidad a través del nuevo proyecto keras‑core.
Pipeline Keras by Itrion
compile()fit() & callbacksCallbacks personalizados: early‑stopping, LR scheduler y export metrics to MLflow.
Keras vs PyTorch Lightning
| Aspecto | Keras | PT Lightning |
|---|---|---|
| Paradigma | Declarativo | Subclass orientado CLI |
| Micro‑batching | fit() builtin | Trainer ⚡ auto |
| Mixed‑precision | keras.mixed_precision | AMP native |
| Distribuido | tf.distribute & TPU | DDP / FSDP |
| Export | SavedModel, TFLite, TF JS | TorchScript, ONNX |
Fortalezas de Itrion con Keras
275
Modelos Keras live
18 M
Predicciones/día
7 ×
Speed‑up FP16 mixed
Por qué Itrion para Keras
- • Framework agnostic: migramos Keras a JAX o PyTorch sin reescribir lógica.
- • Cost‑aware: ajustamos batch y mixed‑precision para usar GPU spot.
- • Compliance: TFX pipelines documentados para IA Act UE.
- • Soporte 24/7: On‑call engineering con SLA 15 min respuesta S1.
Keras is the high-level neural network API that enables going from idea to experiment in minutes. With its declarative syntax – functional and subclassing – and direct TensorFlow backing, it speeds up both research and production deployment of deep learning models.
Itrion has deployed 275 Keras models in production, covering vision, NLP, and time-series with an average prototyping time of 48 h and 99.9% SLA.
48 h
From idea to first model
7×
Acceleration with mixed‑precision
275
Models in production
Key benefits of Keras
Concise Functional API and ready callbacks
Subclassing API & custom layers
TensorFlow, JAX and PyTorch* (keras-core)
Export SavedModel / TFLite / TF JS
*Compatibility through the new keras-core project.
Keras pipeline by Itrion
compile()fit() & callbacksCustom callbacks: early-stopping, LR scheduler and export metrics to MLflow.
Keras vs PyTorch Lightning
| Aspect | Keras | PT Lightning |
|---|---|---|
| Paradigm | Declarative | Subclass CLI oriented |
| Micro-batching | fit() builtin | Trainer ⚡ auto |
| Mixed precision | keras.mixed_precision | Native AMP |
| Distributed | tf.distribute & TPU | DDP / FSDP |
| Export | SavedModel, TFLite, TF JS | TorchScript, ONNX |
Itrion strengths with Keras
275
Keras live models
18 M
Predictions/day
7 ×
Speed-up FP16 mixed
Why Itrion for Keras
- • Framework agnostic: we migrate Keras to JAX or PyTorch without rewriting logic.
- • Cost‑aware: we adjust batch and mixed-precision to use GPU spot.
- • Compliance: documented TFX pipelines for EU AI Act.
- • 24/7 support: on-call engineering with SLA 15 min S1 response.
At Itrion, we provide direct, professional communication aligned with the objectives of each organisation. We diligently address all requests for information, evaluation, or collaboration that we receive, analysing each case with the seriousness it deserves.
If you wish to present us with a project, evaluate a potential solution, or simply gain a qualified insight into a technological or business challenge, we will be delighted to assist you. Your enquiry will be handled with the utmost care by our team.
At Itrion, we provide direct, professional communication aligned with the objectives of each organisation. We diligently address all requests for information, evaluation, or collaboration that we receive, analysing each case with the seriousness it deserves.
If you wish to present us with a project, evaluate a potential solution, or simply gain a qualified insight into a technological or business challenge, we will be delighted to assist you. Your enquiry will be handled with the utmost care by our team.