Tensorflow from zero to hero (or almost)

Université de Sherbrooke - 2500, boulevard de l'Université D3-2035 Sherbrooke, J1K 2R1 - View Map GDG Cloud Sherbrooke
Fri, Nov 18, 4:00 PM (EST)

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About this event

This talk will cover the basics of building neural networks for software engineers, through neural weights and biases, activation functions, supervised learning, and gradient descent. I'll show you some tips and best practices for effective training, such as learning rate decay, gradient descent regularization, and the subtleties of overfitting. Be aware that dense and convolutional neural networks are key to any modern implementation. This session starts with low-level Tensorflow and also includes a sample of high-level Tensorflow code using layers and data sets.

Virtual link 

D4-2011 (UdeS)

Speakers

Where

Université de Sherbrooke
2500, boulevard de l'Université D3-2035 SherbrookeJ1K 2R1

Organizer

  • Nadia Tahiri, PhD

    Nadia Tahiri, PhD

    University of Sherbrooke

    Organizer

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