Tensorflow: Autoencoders Guide with TF Implementation

When we talk about Neural Networks or Machine Learning in general. We talk about mapping some input to some output by some learnable function. Autoencoders is a class of neural networks where you map the input to an output that is exactly the input itself. So what exactly is the point of Autoencoders?

Sep 20, 2020, 1:00 – 2:30 PM

18
RSVP'd

Key Themes

Machine Learning

About this event

When we talk about Neural Networks or Machine Learning in general. We talk about mapping some input to some output by some learnable function.

Autoencoders is a class of neural networks where you map the input to an output that is exactly the input itself.

So what exactly is the point of Autoencoders?

Let’s try to find that out in this blog. Along with how it’s used and what are some of its applications and code it all in TensorFlow 2.0

When

When

Sunday, September 20, 2020
1:00 PM – 2:30 PM UTC

Agenda

1:00 PMIntroduction to Autoencoders
1:10 PMWorkshop

Speaker

  • Imran Salam

    Workwise

    Senior Machine Learning Engineer, GDE ML

Organizers

  • Irum Zahra

    JAZZ

    GDG Organizer

  • Sarmad Gardezi

    Sarmad DIgital

    Social Media Manager

  • Ershian Anwar

    vFairs

    Product Manager

  • Ramis Mustafa

    CAMIO

    Co-Manager

  • Ali Nawaz

    PyFlux Nexus

    Community Outreach

  • MUHAMMAD KALEEM ULLAH

    Comsats University, Attock Campus

    Operations & Logistics

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