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Deep Learning - Cours 2 [June 3, 2020]

 Summary

In this second video in the series, Dr. Bernard Giusiano, building on the concepts introduced in the "Deep Learning - Cours 1", explores certain more avanced aspects of deep learning. The choice of  hyperparameters is presented and a number of different neural network architectures, such as Convolution Networks, Autoencoders and Recurrent Networks, are introduced. Bernard also gives examples of tools and platforms available to those wishing to explore or create their own deep learning networks. 

Tags :  apprentissage profond architecture hyperparametres reseaux convolutifs reseaux de neurones reseaux recurrents

 Infos

Added by :
Deirdre BOLGER

Updated on :
June 22, 2020, 4:03 p.m.

Duration :
01:17:36

Number of view :
72

Type :
Course

Main language :
French

Disciplines :
Computer science Mathematics Neurosciences

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