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Deep Learning: a hands-on introduction


dgt book

These course will be online. Details on the platform and schedule will be published soon.


Duration

20 hours


Instructors

  • Nicoletta Noceti - University of Genoa (DIBRIS)


When

13-17 July 2020, 9:00-13:00


Where

Via Dodecaneso 35, room TBA


Abstract

Deep Learning is a branch of Machine Learning that has recently achieved astonishing results in a number of different domains. This course will provide a hands-on introduction to Deep Learning, starting from its foundations and discussing the various types of deep architectures and tools currently available.

The theoretical classes will be accompanied by work in lab (with Python using Keras and Tensorflow), which will constitute an integral part of the course, giving the possibility of practicing deep learning with examples from real-world applications, with particular focus on visual and temporal data. Besides well established approaches, the course will also highlight current trends, open problems and potential future lines of research.


Application Form

Fill this Form to apply to the Deep Learning: a hands-on introduction course


Program

  • Mon, Jul 13


    Class 1
    Machine Learning reprise + Introduction to deep learning: From single layer perceptron to deep neural networks

    Lab 1
    DNN

  • Tue, Jul 14


    Class 2
    Convolutional neural networks Lab 2
    CNN

  • Wed, Jul 15


    Class 3
    Dealing with time data: Recurrent Neural Networks and Long-Short Term Memory

    Lab 3
    RNN + LSTM

  • Thu, Jul 16


    Class 4
    Generative Adversarial Networks

    Lab 4
    GANs

  • Fri, Jul 17


    Mini-workshop
    Examples of applications to real world problems, open issues

References

Slides, notebooks, and a list of bibliographical references and additional material will be provided to attendants. All the course material is in English.


Goodfellow, Y. Bengio and A. Courville, Deep Learning book, MIT Press, 2016.


Francois Chollet. Deep Learning with Python, Manning Pub., 2017.