Deep Learning 2

Starts on

Ends on

Deep Learning 2
Lecturer

M. Riveill ,

D. Lingrand,

Content and organization

CNN, RNN, attention models for RNN, hyper-parameter tuning, convolutional and variational auto-encoders, Applications to (1) NLP: Word embedding, Sentiment analysis, Naming Entity Recognition, Part of speech tagging, (2) image processing: feature and image extraction, image denoising.

Course Type

ai-phd Course

Host Institution
Université Côte d'Azur

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