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TensorFlow

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4.6
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2016
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azadeh g.
AG
azadeh g.
Graduate Research Assistant at National Weather Center
09/01/2020
Évaluateur validé
Source de l'avis : Invitation G2
Avis incitatif

I used TensorFlow for my some of course projects

It is open-source and can use for different platforms. There are lots of tutorials available that can make help students when that stuck in some part. Also, I really like the visualization tools of that through TensorBoar.
Patrick K.
PK
Patrick K.
Postdoctoral Researcher at KU Leuven
08/11/2020
Évaluateur validé
Source de l'avis : Invitation G2
Avis incitatif

Using Deep Neurals Nets with a few lines of code

The Keras API: it makes building, training, working with DNNs, CNNs very easy. It requires only a very small knowlegde of (python) coding. Line by line one can add layers to the network to construct it, and the built-in optimizers do the training. No need to go through the pain if implementing backprop or optimizations steps on your own. Also nice: the support for GPUs which really speeds up all computions.
parth p.
PP
parth p.
Data Scientist|Analyst at Tridiagonal Solutions IIOT|Historian|TimeSeries
08/08/2020
Évaluateur validé
Utilisateur actuel vérifié
Source de l'avis : Invitation du vendeur

Neural network at your hands

Neural network application has become so easy. User now no need to focus on the development and optimising the models, and rather could stay more focused with the application part of it.

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Année de fondation
2016