--- description: Caffe : qu'en pensent les utilisateurs ? Lisez les avis clients sur Caffe, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Caffe - Avis, notes, prix et abonnements - Capterra Luxembourg 2026 --- Breadcrumb: [Accueil](/) > [Deep learning](/directory/31104/deep-learning/software) > [Caffe](/software/171053/caffe) # Caffe Canonical: https://www.capterra.lu/software/171053/caffe > Structure open source de deep learning fournissant le GPU et l'assistance CPU. Idéal pour la recherche universitaire et les applications industrielles. > > Conclusion : 3 utilisateurs lui ont donné la note de **5.0/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **5.0/5** | 3 Avis | | Simplicité | 5.0/5 | D'après l'ensemble des avis | | Support client | 4.3/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.7/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.7/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) | ## À propos de l'éditeur - **Société**: BAIR - **Pays**: Berkeley, É.-U. ## Contexte commercial - **Langues**: anglais - **Pays disponibles**: États-Unis ## Fonctionnalités - Visualisation ## Category - [Deep learning](https://www.capterra.lu/directory/31104/deep-learning/software) ## Logiciels similaires 1. [Cognex ViDi Suite](https://www.capterra.lu/software/171052/cognex-vidi-suite) — 4.8/5 (5 reviews) ## Avis ### "quite fast machine learning tool" — 5.0/5 > **Gaurav** | *15 janvier 2019* | Logiciels | Taux de recommandation : 9.0/10 > > **Avantages**: First of all, this is very fast and it supports GPU very well. Lot of inbuilt code, for classifying and other, you don't have to write much of code. supports similar data type as of python. > > **Inconvénients**: Although it is good but it comes with few issues. Developing RNN with this is big problem its performance will significantly drops ----- ### "Deep-learning framework with clear layer structure which is easy to understand." — 5.0/5 > **Utilisateur vérifié** | *19 avril 2018* | Enseignement supérieur > > **Avantages**: Caffe is very easy to get started because all the neural network structures are configured with configuration files. I don't need to coding for network design. Besides, it can be used to train state-of-the-art model and large scale of data since its training speed is very fast. The component modularity of Caffe also makes it easy to expand new models. > > **Inconvénients**: At first, Caffe was designed to only focus on images without supporting text, voice and time sequence. As a result, it is true that Caffe supports well to Convolutional Neural Network, but not good at supporting time sequence RNN, LSTM. In addition, the design pattern based on Layers is not friendly to RNN. ----- ### "Great experience" — 5.0/5 > **Laura** | *27 juin 2020* | Services aux consommateurs | Taux de recommandation : 9.0/10 > > **Avantages**: I liked that Caffe was very user friendly > > **Inconvénients**: There is nothing that I would change about Caffe ## Liens - [Afficher sur Capterra](https://www.capterra.lu/software/171053/caffe) ## Cette page est disponible dans les langues suivantes. | Langue | 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 | | ----- ## Données structurées