TensorFlow

TensorFlow

par TensorFlow

Qui utilise TensorFlow ?

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

Description de TensorFlow

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

Informations sur TensorFlow

TensorFlow

https://www.tensorflow.org/

Prix de TensorFlow

TensorFlow n'est pas disponible en version gratuite et ne propose pas d'essai gratuit. Voir plus d'informations concernant le prix de TensorFlow ci-dessous.

Prix

Contact TensorFlow for pricing details.

Version gratuite

Non

Essai gratuit

Non

Déploiement

Installation (Mac)

Cloud, SaaS, web

Installation (Windows)

Ressources d'aide

Support en horaire de bureau

TensorFlow - Fonctionnalités

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

Avis sur TensorFlow

Afficher 5 avis sur 77

Note globale
4.7/5
Facilité d'utilisation
3.9/5
Service client
4.2/5
Fonctionnalités
4.6/5
Rapport qualité-prix
4.8/5
Jose antonio M.
Technical Support Engineer
Télécommunications, 201-500 employés
Temps d'utilisation du produit: plus de deux ans
  • Overall Rating
    5/5
  • Facilité d'utilisation
    5/5
  • Fonctionnalités
    5/5
  • Support client
    5/5
  • Rapport qualité-prix
    5/5
  • Likelihood to Recommend
    10/10
  • Provenance de l'utilisateur 
  • Publié le 19/07/2019

"Best Machine Learning Framework"

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.

  • Provenance de l'utilisateur 
  • Publié le 19/07/2019
Ben W.
Software Engineer
Logiciels, 13-50 employés
Temps d'utilisation du produit: 1 à 5 mois
  • Overall Rating
    5/5
  • Facilité d'utilisation
    4/5
  • Fonctionnalités
    4/5
  • Support client
    4/5
  • Rapport qualité-prix
    5/5
  • Likelihood to Recommend
    9/10
  • Provenance de l'utilisateur 
  • Publié le 27/09/2019

"Relatively Straightforward Deep Learning Framework"

Commentaires: Human pattern recognization, image recognization. Habits and trends.

Avantages: 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.

Inconvénients: 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.

  • Provenance de l'utilisateur 
  • Publié le 27/09/2019
Silviu O.
General Manager
Logiciels, 2-10 employés
Temps d'utilisation du produit: 6 à 12 mois
  • Overall Rating
    5/5
  • Facilité d'utilisation
    5/5
  • Fonctionnalités
    5/5
  • Support client
    5/5
  • Rapport qualité-prix
    5/5
  • Likelihood to Recommend
    10/10
  • Provenance de l'utilisateur 
  • Publié le 06/01/2020

"A great foundation for Machine Learning "

Commentaires: TensorFlow is a great initiative and a great product. It can be intimidating at first, but once mastered it can offer a great advantage. The best part is that it covers a great range of machine learning use cases from supervised to unsupervised learning and great support for lots of languages and integration. Great community support and a great vision ahead.

Avantages: First of all, it's free. Secondly, being developed by Google it integrates easily with Google ML the other products. At the time of its release, it has come with great enthusiasm thus it has a great community build around it.

Inconvénients: It is fairly difficult at first, as it brings the whole complexity of working with machine learning. It is very resource-driven and thus the only viable option is using it in the cloud.

  • Provenance de l'utilisateur 
  • Publié le 06/01/2020
Utilisateur vérifié
Software Engineer
Réseaux informatiques, 10 001+ employés
Temps d'utilisation du produit: plus d'un an
  • Overall Rating
    5/5
  • Facilité d'utilisation
    5/5
  • Fonctionnalités
    4/5
  • Support client
    4/5
  • Rapport qualité-prix
    5/5
  • Likelihood to Recommend
    9/10
  • Provenance de l'utilisateur 
  • Publié le 14/11/2019

"Google Cloud ML Engine review"

Commentaires: In constructing ML project at first, it is run by the local hardware platform Tensorflow GPU version, so that at the time of training can speed up a lot, but because of the high cost of GPU, when a project order of magnitude increases, the training time of exponential growth, if want to reduce the time, only through optimization algorithm or hardware.After that, I moved the whole project to the cloud platform for operation. Of course, there was also a problem. The resources of Aliyun were all based on fixed configuration to determine different prices.Finally, I migrated to Google Cloud ML Engine, which was cheap and perfectly compatible with other Google products, such as Cloud Storage, Cloud Dataflow, and Cloud Datalab.For the extension of the project and late derivative, provides a great convenience.

Avantages: It doesn't take up any of my local computer resources, just throw a command and let the Google cloud run when I need to run, and it doesn't block any of my other work.
The software provides mainstream training model, prediction model, mainstream ML framework to accelerate the efficiency of our project development.
Low price, suitable for early learning and research.

Inconvénients: The threshold of software use is relatively high, and the background of Python or Tensorflow is required, so it is difficult to get started.

  • Provenance de l'utilisateur 
  • Publié le 14/11/2019
Utilisateur vérifié
Team Manager, Recruiter, developer and Human Resources
Services financiers, 13-50 employés
Temps d'utilisation du produit: 6 à 12 mois
  • Overall Rating
    2/5
  • Facilité d'utilisation
    1/5
  • Fonctionnalités
    2/5
  • Support client
    4/5
  • Rapport qualité-prix
    4/5
  • Likelihood to Recommend
    2/10
  • Provenance de l'utilisateur 
  • Publié le 03/12/2018

"Overhyped application"

Commentaires: I use tensorflow for machine learning apps to find correlations in the market, but the app has let me down and I have since moved on to other libraries, as tensorFlow was simply to difficult to use.

Avantages: Tensorflow is a good library for machine learning, but only for more experienced developpers.

Inconvénients: It is very hyped by the community, but has a teap learning curve and is hard to learn. So the app is not beginner friendly, but also is't the best library for high level machine learning.

  • Provenance de l'utilisateur 
  • Publié le 03/12/2018