--- description: Tudo sobre TensorFlow: preço, alternativas, vantagens e desvantagens, funcionalidades e avaliações de outros usuários. Saiba mais! image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: TensorFlow - Preço, avaliações e classificação - Capterra Brasil 2026 --- Breadcrumb: [Home](/) > [Software de Machine Learning](/directory/31103/machine-learning/software) > [TensorFlow](/software/171057/tensorflow) # TensorFlow Canonical: https://www.capterra.com.br/software/171057/tensorflow Página: 1 / 5\ Próximo: [Próxima página](https://www.capterra.com.br/software/171057/tensorflow?page=2) > Uma plataforma de código aberto que permite que desenvolvedores, empresas e pesquisadores criem e implantem algoritmos de aprendizado de máquina. > > Conclusão: 104 usuários atribuíram a nota **4.6/5**. Melhor classificado para **Probabilidade de recomendação**. ----- ## Resumo ### Quem usa o TensorFlow? Uma plataforma de código aberto no local e baseada na nuvem que permite que desenvolvedores, empresas e pesquisadores criem e implantem algoritmos e modelos de aprendizado de máquina. ## Estatísticas e notas | Métrica | Classificação | Detalhes | | **Geral** | **4.6/5** | 104 Avaliações | | Praticidade | 3.9/5 | Com base em avaliações gerais | | Suporte ao cliente | 4.1/5 | Com base em avaliações gerais | | Relação qualidade/preço | 4.7/5 | Com base em avaliações gerais | | Recursos | 4.6/5 | Com base em avaliações gerais | | Porcentagem de recomendação | 90% | (9/10 Probabilidade de recomendação) | ## Sobre o fornecedor - **Empresa**: Google ## Contexto comercial - **Público-alvo**: Profissional autônomo, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Implantação e plataformas**: Nuvem, SaaS, baseado na web, Mac (desktop), Windows (desktop) - **Idiomas**: inglês - **Países disponíveis**: Estados Unidos ## Recursos - Aprendizado profundo - Formação de modelos - Gestão do fluxo de trabalho - Modelagem preditiva - Processamento de linguagem natural ## Opções de suporte - Email/Help Desk - FAQs/Fórum - Base de conhecimento - Suporte por telefone ## Category - [Software de Machine Learning](https://www.capterra.com.br/directory/31103/machine-learning/software) ## Alternativas 1. 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The software connects well with various data sources and in setting up scripts to run automatically. > > **Desvantagens**: 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 setembro de 2019* | Software | Taxa de recomendação: 9.0/10 > > **Vantagens**: 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. > > **Desvantagens**: 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 janeiro de 2021* | Serviços e tecnologia da informação | Taxa de recomendação: 7.0/10 > > **Vantagens**: 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. > > **Desvantagens**: 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. ----- ### "Tensorflow powered our internal models for anomaly detection." — 5.0/5 > **Rahul** | *22 de junho de 2025* | Serviços e tecnologia da informação | Taxa de recomendação: 9.0/10 > > **Vantagens**: We have employed TensorFlow to build customized models for detecting anomalous patterns in the network logs and user access patterns. Leveraging its python integration and community tutorials, model building and tuning was dead simple. > > **Desvantagens**: The learning curve is steep especially when deploying models at scale or working on performance optimization. The setup becomes pretty daunting if you have little/no ML background. > > TensorFlow has helped us to transition to proactive from reactive security. The end result is that by training our models on our infrastructure data, we are able to detect potential breaches or outliers faster and thereby better protect our network as a whole. ----- ### "A Machine and Deep Learner must have Library" — 5.0/5 > **Scott W.** | *5 de setembro de 2018* | Consultoria de gestão | Taxa de recomendação: 10.0/10 > > **Vantagens**: 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 > > **Desvantagens**: Depreciation of the code is frustrating. To use one form just to throw a Error message. ----- Página: 1 / 5\ Próximo: [Próxima página](https://www.capterra.com.br/software/171057/tensorflow?page=2) ## Links - [Ver em Capterra](https://www.capterra.com.br/software/171057/tensorflow) ## Esta página está disponível nos seguintes idiomas | Localidade | 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 | | ----- ## Dados estruturados