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Update answers.md
Vmonomakhoff Nov 28, 2018
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Partie 1 et début 2
Vmonomakhoff Nov 28, 2018
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TP fini
Vmonomakhoff Dec 11, 2018
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5 changes: 5 additions & 0 deletions Dockerfile
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FROM tensorflow/serving

RUN mkdir /models/mnist

COPY 1 /models/mnist/1
702 changes: 702 additions & 0 deletions TP3 Micro services _ Monomakhoff.ipynb
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17 changes: 10 additions & 7 deletions answers.md
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# Answers

Nom:
Prénom:
NB:
Nom: Monomakhoff
Prénom: Victor
NB: 1

## 1.3
Définir les objets suivants:
graph:
tensor:
layer:
graph: a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from mathematics.
tensor:a tensor in data science is an N-dimensional array of data. It could be a cube of numbers or even some higher-dimensional set of numbers.
layer:This is where the data arrives at your organization. It includes everything from your sales records, customer database, feedback, social media channels, marketing list, email archives and any data gleaned from monitoring or measuring aspects of your operations.

## 3
answer:
answer: Différentes problèmatiques se trouvent quand on cherche à mettre un modèle en production :
1 - La complexité augmente avec les volumes de données -> augmenter la puissance de calcul
2 - Les données du modèle seront toujours légèrement inexactes -> toujours réévaluer les modèles et les réajuster, cela entraîne un ralentissement du process et beaucoup de flexibilité