--- description: Tudo sobre Keras: 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: Keras - Preço, avaliações e classificação - Capterra Brasil 2026 --- Breadcrumb: [Home](/) > [Software de Deep Learning](/directory/31104/deep-learning/software) > [Keras](/software/171047/keras) # Keras Canonical: https://www.capterra.com.br/software/171047/keras Página: 1 / 3\ Próximo: [Próxima página](https://www.capterra.com.br/software/171047/keras?page=2) > Ferramenta de API que oferece uma biblioteca de rede neural de código aberto por meio de redes recorrentes e convolucionais. > > Conclusão: 40 usuários atribuíram a nota **4.6/5**. Melhor classificado para **Probabilidade de recomendação**. ----- ## Resumo ### Quem usa o Keras? Solução de aprendizado profundo para qualquer pessoa interessada em aprendizado de máquina, com recursos como modularidade, camadas neurais, extensibilidade de módulos e suporte à codificação Python. ## Estatísticas e notas | Métrica | Classificação | Detalhes | | **Geral** | **4.6/5** | 40 Avaliações | | Praticidade | 4.5/5 | Com base em avaliações gerais | | Suporte ao cliente | 4.2/5 | Com base em avaliações gerais | | Relação qualidade/preço | 4.5/5 | Com base em avaliações gerais | | Recursos | 4.3/5 | Com base em avaliações gerais | | Porcentagem de recomendação | 90% | (9/10 Probabilidade de recomendação) | ## Sobre o fornecedor - **Empresa**: Keras ## Contexto comercial - **Público-alvo**: Profissional autônomo, 2–10, 11–50, 51–200, 201–500, 1.001–5.000, 5.001–10.000, 10.000+ - **Implantação e plataformas**: Nuvem, SaaS, baseado na web, Android (celular), iPhone (celular), iPad (tablet) - **Idiomas**: inglês - **Países disponíveis**: Estados Unidos ## Recursos - API - Artificial Neural Networks - Formação de modelos - Visualização ## Category - [Software de Deep Learning](https://www.capterra.com.br/directory/31104/deep-learning/software) ## Alternativas 1. 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[Modzy](https://www.capterra.com.br/software/1046496/modzy) (0 reviews) ## Avaliações ### "Great Deeplearning framework" — 4.0/5 > **Boluwatife** | *16 de julho de 2019* | Bancos | Taxa de recomendação: 8.0/10 > > **Vantagens**: 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. > > **Desvantagens**: 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 maio de 2022* | Software | Taxa de recomendação: 9.0/10 > > **Vantagens**: easy to use, large communities and support > > **Desvantagens**: 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 > **Avaliador Verificado** | *12 de abril de 2019* | Educação superior | Taxa de recomendação: 6.0/10 > > **Vantagens**: 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 > > **Desvantagens**: 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 julho de 2019* | Gestão da educação | Taxa de recomendação: 10.0/10 > > **Vantagens**: 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 . > > **Desvantagens**: 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 junho de 2023* | Serviços e tecnologia da informação | Taxa de recomendação: 9.0/10 > > **Vantagens**: 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. > > **Desvantagens**: 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 / 3\ Próximo: [Próxima página](https://www.capterra.com.br/software/171047/keras?page=2) ## Links - [Ver em Capterra](https://www.capterra.com.br/software/171047/keras) ## 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 | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Dados estruturados