Pour qui ?

On-premise and cloud-based open-source platform that allows developers, businesses and researchers to build and deploy machine learning algorithms and models.

Notes moyennes

67 avis
  • Note globale 4.5 / 5
  • Facilité d'utilisation 4 / 5
  • Service client 4.5 / 5
  • Fonctionnalités 4.5 / 5
  • Rapport qualité-prix 5 / 5

Informations sur le produit

  • Prix Contact TensorFlow for pricing details.
  • Version gratuite Non
  • Version d'essai gratuite Non
  • Déploiement Installation (Mac)
    Cloud, SaaS, web
    Installation (Windows)
  • Ressources d'aide Support en horaire de bureau

Informations sur l'éditeur

  • TensorFlow
  • https://www.tensorflow.org/

En savoir plus sur TensorFlow

An open-source platform that allows developers, businesses and researchers to build and deploy machine learning algorithms.

TensorFlow - Fonctionnalités

  • Bibliothèque d'algorithmes de ML
  • Deep learning
  • Modèle de formation
  • Modèles
  • Modélisation prédictive
  • Outils mathématiques et statistiques
  • Traitement automatique des langues (TAL)
  • Visualisation

Avis les plus utiles sur TensorFlow

popular machine learning platform with great functionality

Publié le 15/02/2019
Utilisateur vérifié
Sr Director
Biotechnologie, 5 001-10 000 employés
Temps d'utilisation du produit: plus de deux ans
Provenance de l'utilisateur 
5/5
Note globale
5 / 5
Facilité d'utilisation
5 / 5
Fonctionnalités
5 / 5
Support client
5 / 5
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Commentaires: trying to get a jumpstart on a machine learning platform - preferably open sourced since there will be a community and we can learn/contribute along with community.

Avantages: multiple GPU support availability, ability to queue data prior to loading for graphs, ability to visualize graphs during the process of data modeling to enable faster debugging and logging events on tensorboard for quick sanity checks are some of the stand out features.

Inconvénients: at times, we run into an issue when dealing with variable length sequencing inputs in recurring neural networks. Also puts a strain on performance and memory when dealing with a large data set and slows down.

Tensorflow is the future of our business, and likely the future of machine learning modeling.

Publié le 07/03/2018
Utilisateur vérifié
Head of Innovation & Marketing
Logiciels, 51-200 employés
Temps d'utilisation du produit: plus d'un an
Provenance de l'utilisateur 
5/5
Note globale
5 / 5
Facilité d'utilisation
5 / 5
Fonctionnalités
5 / 5
Support client
5 / 5
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Commentaires: Tensorflow is the future of machine learning modeling. There is no way around that and we as a company are fortunate to bring this technology to the forefront.

Avantages: Tensorflow is the easiest way to implement machine learning software into your product/business. The repository is colossal and there is an abundance of support within the community alone. Tensorflow is updating regularly and will continue to grow in the years to come.

Inconvénients: Hardware is a common bottleneck in machine learning software. We have built out dedicated computing space just for our tensorflow models and will have to continue to upgrade and expand that space. It's just the nature of the business.

Gold standard for ML libraries

Publié le 02/05/2018
Utilisateur vérifié
Beauty Studio Coordinator
Vente au détail
Temps d'utilisation du produit: plus d'un an
Provenance de l'utilisateur 
5/5
Note globale
3 / 5
Facilité d'utilisation
4 / 5
Fonctionnalités
Support client
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Commentaires: Tensorflow is a one stop shop for most machine learning applications. The ease of use isn't really there but once you learn the processes required, everything falls into place. We use it to train various machine learning models and couldn't be happier.

Avantages: This is the industry leading machine learning library. It's essential for any deep learning models you're looking to implement. The repository is large and very thorough. We've trained many datasets on various models using tensorflow and couldn't be happier.

Inconvénients: It's not easy to use. This is the case for most emerging technologies though, the learning curve is dramatic but such is the cost of new tech.

Best Machine Learning Framework

Publié le 19/07/2019
Jose antonio M.
Technical Support Engineer
Télécommunications, 201-500 employés
Temps d'utilisation du produit: plus de deux ans
Provenance de l'utilisateur 
5/5
Note globale
5 / 5
Facilité d'utilisation
5 / 5
Fonctionnalités
5 / 5
Support client
5 / 5
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Avantages: I have implemented this on my personal projects, and it gives the desired results, as a Google product it has tons of documentation, so we can easily learn how to use it. The support community has a lot of good resources where everyone can go ahead and ask or search for the answers.

Inconvénients: The learning curve, as all the frameworks we needed to search for documentation. Besides that this product it's awesome.

A Machine and Deep Learner must have Library

Publié le 05/09/2018
Scott w. D.
Deep Learning and Data Engineer
Conseil en gestion, Auto-entrepreneur
Temps d'utilisation du produit: plus de deux ans
Provenance de l'utilisateur 
5/5
Note globale
5 / 5
Facilité d'utilisation
5 / 5
Fonctionnalités
5 / 5
Support client
5 / 5
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Avantages: 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

Inconvénients: Depreciation of the code is frustrating. To use one form just to throw a Error message.

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