--- description: ¿Qué piensan los usuarios de Keras? Lee las reseñas y opiniones verificadas, descubre sus características y el nivel de usabilidad, consulta los precios y conoce las ventajas y desventajas de Keras gracias a Capterra Argentina. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Keras - Opiniones, precios y características - Capterra Argentina 2026 --- Breadcrumb: [Inicio](/) > [Herramientas de aprendizaje profundo](/directory/31104/deep-learning/software) > [Keras](/software/171047/keras) # Keras Canonical: https://www.capterra.com.ar/software/171047/keras Página: 1 de 3\ Siguiente: [Página siguiente](https://www.capterra.com.ar/software/171047/keras?page=2) > Biblioteca de red neuronal de código abierto, escrita en Python, que admite redes recurrentes y redes convolucionales. > > Veredicto: 40 usuarios lo han valorado con **4.6/5**. De los mejores valorados en **Probabilidad de recomendación**. ----- ## Estadísticas y valoraciones rápidas | Métrica | Calificación | Detalles | | **En general** | **4.6/5** | 40 Opiniones | | Facilidad de uso | 4.5/5 | Basado en las opiniones generales | | Asistencia al cliente | 4.2/5 | Basado en las opiniones generales | | Relación calidad-precio | 4.5/5 | Basado en las opiniones generales | | Funcionalidades | 4.3/5 | Basado en las opiniones generales | | Porcentaje de recomendaciones | 90% | (9/10 Probabilidad de recomendación) | ## Sobre el proveedor - **Empresa**: Keras ## Contexto comercial - **Público objetivo**: Trabajador autónomo, 2-10, 11-50, 51-200, 201-500, 1.001-5.000, 5.001-10.000, 10.000+ - **Despliegue y plataformas**: Cloud, SaaS, Web, Android (móvil), iPhone (móvil), iPad (móvil) - **Idiomas admitidos**: inglés - **Países disponibles**: Estados Unidos ## Funcionalidades - API - Artificial Neural Networks - Formación de modelos - Visualización ## Categoría - [Herramientas de aprendizaje profundo](https://www.capterra.com.ar/directory/31104/deep-learning/software) ## Alternativas 1. 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[Prime AI](https://www.capterra.com.ar/software/197586/prime-ai) — 4.8/5 (20 reviews) ## Opiniones ### "Great Deeplearning framework" — 4.0/5 > **Boluwatife** | *16 de julio de 2019* | Banca | Valoración de la recomendación: 8.0/10 > > **Puntos a favor**: What i love most about keras is it's wrapper functions, i use it to perform Gridsearch using scikitlearn and this is amazing as i cannot do this on other frameworks. keras also has a good documentation page with lots of pretrained CNN architectures for image classifications solutions. > > **Puntos en contra**: Nothing to dislike about this framework yet. > > i use keras for image classification making use of it's pretrained architectures especially the resnet architectures. ----- ### "Keras for deep learning" — 5.0/5 > **Youssef** | *27 de mayo de 2022* | Software informático | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: easy to use, large communities and support > > **Puntos en contra**: keras has many predefined methods and functions but it is difficult to integrate a custom class. > > I did many deep learning projects using keras it is really helpful ----- ### "Keras for school project" — 3.0/5 > **Usuario verificado** | *12 de abril de 2019* | Educación superior | Valoración de la recomendación: 6.0/10 > > **Puntos a favor**: I did use this library couple of times during the semester to solve my deep learning course home works and project. compared to tensor flow it was easier for me to use > > **Puntos en contra**: It was not still easy to use and well documented with examples ----- ### "What you need definitely to start your deep learning experiments" — 5.0/5 > **Waleed** | *25 de julio de 2019* | Administración educativa | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: Keras is the only platform that runs on top of most popular backends like TensorFlow, pyTorch and Microsoft Cogntitive Toolkit. This gives great flexibility to researchers to try their network architecture with minimal changes across multiple libraries mentioned. The sequencing modularity is what makes you build sophisticated network with improved code readability . > > **Puntos en contra**: If you encounter an error, it is hard to be debugged. > > I would defintely recommend it as the quickest step to start testing your model. ----- ### "A Game-Changer in Deep Learning" — 4.0/5 > **Dvock** | *21 de junio de 2023* | Tecnología y servicios de la información | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: One of the standout features of Keras is its user-friendly and intuitive API. It offers a high-level abstraction, making it incredibly easy to build and experiment with neural networks. Keras provides an excellent and intuitive experience, allowing me to focus on the core aspects of my models rather than getting pushed down by low-level implementation details. The versatility of Keras is another aspect that sets it apart. It supports both CPU and GPU computations, making it adaptable to various computing environments. Additionally, Keras seamlessly integrates with popular deep learning backends such as TensorFlow and Theano, providing access to an extensive collection of pre-trained models and advanced functionalities. > > **Puntos en contra**: The only issue is lack of flexibility: Keras prioritizes ease of use and abstraction, which can sometimes come at the cost of flexibility. For researchers or practitioners who require fine-grained control over every aspect of their models, Keras may feel restrictive. Certain advanced customization options and low-level operations may not be as easily accessible within the high-level API. > > In general, Keras has established itself as a go-to deep learning library for me as a beginner. Its user-friendly API, versatility, extensive documentation, strong community support, performance optimization, and modularity make it a standout choice in the field of deep learning. ----- Página: 1 de 3\ Siguiente: [Página siguiente](https://www.capterra.com.ar/software/171047/keras?page=2) ## Enlaces - [Ver en Capterra](https://www.capterra.com.ar/software/171047/keras) ## Esta página se encuentra disponible en los siguientes idiomas | Local | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Datos estructurados