12:00 - 1:00pm
Seminar

Optimization and training of recurrent networks

Yann Ollivier
Deep learning : theory and practice
12:00 - 1:00pm
    Amphithéâtre Marguerite de Navarre, Site Marcelin Berthelot
    Open to all, subject to availability
    -

    Documents and media

    Speaker(s)

    Yann Ollivier

    CNRS - Orsay

    Events

    Why deep learning ?
    Yann LeCun

    Lecture
    2:30 - 3:30pm

    Multi-layer networks and gradient backpropagation
    Yann LeCun

    Lecture
    2:30 - 3:30pm

    Mathematical mysteries of convolutional neural networks
    Stéphane Mallat

    Seminar
    3:30 - 4:30pm

    Deep learning in practice
    Yann LeCun

    Lecture
    11:00am - 12:00pm

    Optimization and training of recurrent networks
    Yann Ollivier

    Seminar
    12:00 - 1:00pm

    Convolutional networks
    Yann LeCun

    Lecture
    11:00am - 12:00pm

    Speech recognition
    Gabriel Synnaeve

    Seminar
    12:00 - 1:00pm

    Convolutional networks. Vision applications
    Yann LeCun

    Lecture
    11:00 - 11:30am

    Metric learning, structured prediction
    Cordelia Schmid et Samy Bengio

    Seminar
    11:30am - 1:00pm

    Recurrent networks. Applications to natural language processing
    Yann LeCun

    Lecture
    11:00am - 12:00pm

    Translation and natural language processing
    Holger Schwenk

    Seminar
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    Reasoning, attention, memory
    Yann LeCun

    Lecture
    11:00am - 12:00pm

    Deep Learning and Reasoning, Memory-Augmented Networks
    Rob Fergus

    Seminar
    12:00 - 1:00pm

    Unsupervised learning
    Yann LeCun

    Lecture
    11:00am - 12:00pm

    See also

    Lecture related to the seminar: Deep learning
    Yann LeCun, chair Computer Sciences and Digital Technologies
    Deep learning : theory and practice