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# Théorie : Models,
# Models _everywhere_

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## Perceptron

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## Neural Network

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## LSTMS

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## Deep Learning:

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### Layers, Layers, Layers!
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### Convolutions, Capsules and other tricks
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### Attention! It's all you need

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### TRANSFORMERS
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### Language Models
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### Genetic Algorithms
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### Reinforcement Agents

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# Pratique : Choisir un Modèle

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### Selon la data

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### Selon les ressources

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### Selon l'usage

