--- description: Detaillierte Informationen über Keras zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools dank Capterra Schweiz. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Keras Kosten, Erfahrungen & Bewertungen - Capterra Schweiz 2026 --- Breadcrumb: [Startseite](/) > [Deep Learning Software](/directory/31104/deep-learning/software) > [Keras](/software/171047/keras) # Keras Canonical: https://www.capterra.ch/software/171047/keras Seite: 1 / 3\ Weiter: [Nächste Seite](https://www.capterra.ch/software/171047/keras?page=2) > Open-Source-Bibliothek für neuronale Netzwerke, geschrieben in Python, die sowohl wiederkehrende Netzwerke als auch konvolutionelle Netzwerke unterstützt. > > Bewertung: **4.6/5** von 40 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.6/5** | 40 Nutzerbewertungen | | Bedienkomfort | 4.5/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.2/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.5/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.3/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 90% | (9/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: Keras ## Gewerblicher Kontext - **Zielgruppe**: Selbstständig, 2–10, 11–50, 51–200, 201–500, 1'001–5'000, 5'001–10'000, 10'000+ - **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert, Android (mobil), iPhone (mobil), iPad (mobil) - **Unterstützte Sprachen**: Englisch - **Verfügbare Länder**: Vereinigte Staaten ## Funktionen - API - Artificial Neural Networks - Modell-Training - Visualisierung ## Category - [Deep Learning Software](https://www.capterra.ch/directory/31104/deep-learning/software) ## Alternativen 1. [Anaconda](https://www.capterra.ch/software/191760/anaconda) — 4.6/5 (86 reviews) 2. [h2o](https://www.capterra.ch/software/158760/h2o) — 4.6/5 (10 reviews) 3. [Valohai](https://www.capterra.ch/software/179657/valohai) — 4.8/5 (8 reviews) 4. [Wolfram Mathematica](https://www.capterra.ch/software/171048/wolfram-mathematica) — 4.6/5 (169 reviews) 5. [DataRobot](https://www.capterra.ch/software/179303/datarobot) — 4.8/5 (5 reviews) ## Nutzerbewertungen ### "Great Deeplearning framework" — 4.0/5 > **Boluwatife** | *16. Juli 2019* | Bankwesen | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: 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. > > **Nachteile**: 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. Mai 2022* | Computer-Software | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: easy to use, large communities and support > > **Nachteile**: 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 > **Verifizierter Rezensent** | *12. April 2019* | Hochschulbildung | Empfehlungsbewertung: 6.0/10 > > **Vorteile**: 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 > > **Nachteile**: 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. Juli 2019* | Bildungsmanagement | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: 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 . > > **Nachteile**: 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. Juni 2023* | Informationstechnologie & -dienste | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: 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. > > **Nachteile**: 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. ----- Seite: 1 / 3\ Weiter: [Nächste Seite](https://www.capterra.ch/software/171047/keras?page=2) ## Links - [Auf Capterra anzeigen](https://www.capterra.ch/software/171047/keras) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | 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 | | ----- ## Strukturierte Daten