15:30 to 16:30
Seminar

Mathematical mysteries of convolutional neural networks

Stéphane Mallat
Deep learning : theory and practice
15:30 to 16:30
    Maurice-Halbwachs Amphitheater, Marcelin-Berthelot Site
    Open to all, subject to availability
    -

    Speaker(s)

    Stéphane Mallat

    ENS

    Events

    Why deep learning ?
    Yann LeCun

    Lecture
    14:30 to 15:30

    Multi-layer networks and gradient backpropagation
    Yann LeCun

    Lecture
    14:30 to 15:30

    Mathematical mysteries of convolutional neural networks
    Stéphane Mallat

    Seminar
    15:30 to 16:30

    Deep learning in practice
    Yann LeCun

    Lecture
    11:00 to 12:00

    Optimization and training of recurrent networks
    Yann Ollivier

    Seminar
    12:00 to 13:00

    Convolutional networks
    Yann LeCun

    Lecture
    11:00 to 12:00

    Speech recognition
    Gabriel Synnaeve

    Seminar
    12:00 to 13:00

    Convolutional networks. Vision applications
    Yann LeCun

    Lecture
    11:00 to 11:30

    Metric learning, structured prediction
    Cordelia Schmid et Samy Bengio

    Seminar
    11:30 to 13:00

    Recurrent networks. Applications to natural language processing
    Yann LeCun

    Lecture
    11:00 to 12:00

    Translation and natural language processing
    Holger Schwenk

    Seminar
    12:00 to 13:00

    Reasoning, attention, memory
    Yann LeCun

    Lecture
    11:00 to 12:00

    Deep Learning and Reasoning, Memory-Augmented Networks
    Rob Fergus

    Seminar
    12:00 to 13:00

    Unsupervised learning
    Yann LeCun

    Lecture
    11:00 to 12:00

    See also

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