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

 Downloads

Video file(s):

Audio file:

Document:

 Embed/Share

Social Networks

 Options
Check the box to autoplay the video.
Check the box to loop the video.
Check the box to indicate the beginning of playing desired.
 Embed in a web page
 Share the link
qrcode