--- description: ¿Qué piensan los usuarios de TensorFlow? Lee las reseñas y opiniones verificadas, descubre sus características y el nivel de usabilidad, consulta los precios y conoce las ventajas y desventajas de TensorFlow gracias a Capterra Argentina. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: TensorFlow - Opiniones, precios y características - Capterra Argentina 2026 --- Breadcrumb: [Inicio](/) > [Herramientas de Machine Learning](/directory/31103/machine-learning/software) > [TensorFlow](/software/171057/tensorflow) # TensorFlow Canonical: https://www.capterra.com.ar/software/171057/tensorflow Página: 1 de 5\ Siguiente: [Página siguiente](https://www.capterra.com.ar/software/171057/tensorflow?page=2) > Biblioteca de aprendizaje de máquinas flexible y de código abierto para investigadores de aprendizaje de máquinas. > > Veredicto: 104 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** | 104 Opiniones | | Facilidad de uso | 3.9/5 | Basado en las opiniones generales | | Asistencia al cliente | 4.1/5 | Basado en las opiniones generales | | Relación calidad-precio | 4.7/5 | Basado en las opiniones generales | | Funcionalidades | 4.6/5 | Basado en las opiniones generales | | Porcentaje de recomendaciones | 90% | (9/10 Probabilidad de recomendación) | ## Sobre el proveedor - **Empresa**: Google ## Contexto comercial - **Público objetivo**: Trabajador autónomo, 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+ - **Despliegue y plataformas**: Cloud, SaaS, Web, Mac (desktop), Windows (desktop) - **Idiomas admitidos**: inglés - **Países disponibles**: Estados Unidos ## Funcionalidades - Aprendizaje profundo - Formación de modelos - Gestión de flujos de trabajo - Modelado predictivo - Procesamiento de lenguaje natural ## Opciones de asistencia - E-mail/Help Desk - Preguntas frecuentes/foro - Base de conocimientos - Asistencia telefónica ## Categoría - [Herramientas de Machine Learning](https://www.capterra.com.ar/directory/31103/machine-learning/software) ## Alternativas 1. [Rayven](https://www.capterra.com.ar/software/173908/rayven-industrial-business-intelligence) — 5.0/5 (24 reviews) 2. [Clickworker](https://www.capterra.com.ar/software/175432/clickworker) — 4.3/5 (58 reviews) 3. [Google Cloud](https://www.capterra.com.ar/software/170983/google-cloud-platform) — 4.7/5 (2282 reviews) 4. [Snowflake](https://www.capterra.com.ar/software/148267/snowflake) — 4.7/5 (96 reviews) 5. [MySQL](https://www.capterra.com.ar/software/11482/mysql) — 4.6/5 (2095 reviews) ## Opiniones ### "TensorFlow is useful, although it requires a healthy time commitment to produce accurate models" — 4.0/5 > **Thomas** | *26 de abril de 2018* | Valoración de la recomendación: 7.0/10 > > **Puntos a favor**: TensorFlow is fascinating in seeing how it produces results in a reasonable time frame. It is completely flexible compared to its costly competitors. The software connects well with various data sources and in setting up scripts to run automatically. > > **Puntos en contra**: TensorFlow takes a lot of time to become an expert in what it is doing. The programming time-commitment might not be worth it unless you plan on customizing your modeling to work with other software. > > The benefits I received from this software is more accurate modeling and an interesting insight into what makes one software better than another. TensorFlow did for me what it says it does - produce high quality models, such as neural networks, with a lot of human capital input. ----- ### "Relatively Straightforward Deep Learning Framework" — 5.0/5 > **Ben** | *27 de septiembre de 2019* | Software informático | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: The 2.0 version is easy to set up and there are a lot of APIs that are integrated for using various programming languages to do the same thing. I personally have been using python with this application and have had very little problems getting going. There are a lot of tutorials on getting started, some good data available for free to assist with the learning process. Everything can be run locally which makes it easy to expand on-site. Cloud options are also affordable. > > **Puntos en contra**: The learning curve is a bit steep. This isn't specifically an issue because of TensorFlow itself, the idea of neural networks are not simple. TensorFlow has made improvements on 2.0, that make it easier to use compared to previous versions. > > Human pattern recognization, image recognization. Habits and trends. ----- ### "Review of Google Cloud ML Engine" — 3.0/5 > **shushant** | *9 de enero de 2021* | Tecnología y servicios de la información | Valoración de la recomendación: 7.0/10 > > **Puntos a favor**: The feature of the Google Cloud ML Engine that I most like is the machine learning features that have been provided by this platform. The ML features of this engine provide SOTA results in every task in machine learning and artificial intelligence. The ML features are very handy and easy to use and integrate in other applications as well. I would recommend everyone to use Google Cloud ML Engine for developing AI systems. > > **Puntos en contra**: The pricing, when exceeded the free tier of Google Cloud ML platform, is high. The pricing is high compared to other services like Azure Cloud ML platform. > > My overall experience with Google Cloud ML platform was very good. I used it's machine learning services to integrate those in my web applications. ----- ### "A Machine and Deep Learner must have Library" — 5.0/5 > **Scott W.** | *5 de septiembre de 2018* | Consultoría de gestión | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: This Library is very flexible for doing Matrices and Tensor So building very deep high level but quick and scalable ready to use neural networks is at your finger tips. The added other Anaconda Library and Keras compatibility > > **Puntos en contra**: Depreciation of the code is frustrating. To use one form just to throw a Error message. ----- ### "Very helpful in the new world of machine learning." — 5.0/5 > **Esra** | *11 de mayo de 2018* | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: I used TensorFlow on AWS which was easier with all the infrastructure AWS built. It was a good start to machine learning with all the AI and neural network popularity going on these days. It was challenging and exciting to prepare datasets, train them and see the satisfactory results in dashboard. It is also open source and this gives an advantage to TensorFlow. > > **Puntos en contra**: There is a long and challenging learning period. Documentation is rich but it would be so much better to learn and use it with some visual aids. > > You will learn a lot from TensorFlow. It is a good way of entering the machine learning world. ----- Página: 1 de 5\ Siguiente: [Página siguiente](https://www.capterra.com.ar/software/171057/tensorflow?page=2) ## Enlaces - [Ver en Capterra](https://www.capterra.com.ar/software/171057/tensorflow) ## 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 | | | ko | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Datos estructurados