Deep Convolutional Generative Adversarial Network in PyTorch - DLMC32

Another round of Generative Adversarial Networks (GANs) is one of the most interesting ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator ("the artist") learns to create images that look real, while a discriminator ("the art critic") learns to tell real images apart from fakes. Let's see from the basics today but in Pytorch

Feb 10, 2021, 3:00 – 4:00 PM

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Key Themes

Machine Learning

About this event

Another round of Generative Adversarial Networks (GANs) is one of the most interesting ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator ("the artist") learns to create images that look real, while a discriminator ("the art critic") learns to tell real images apart from fakes. Let's see from the basics today but in Pytorch

Speaker

  • Muhammad Huzaifa Shahbaz

    Lenaar Digital

    Co-founder

Partners

Office of Research, Innovation & Commercialization - ORIC logo

Office of Research, Innovation & Commercialization - ORIC

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IEEE SSUET - Student Branch

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IEEE Computer Society SSUET

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Amal4Ajar

Organizers

  • Laiba Rafiq

    GDSC Lead

  • Maaz Farman

    SPARK⚑BIZ

    Community Mentor

  • shayan faiz

    techrics

    Outreach Coordinator

  • Muhammad Ahmer Zubair

    Sharp Edge

    Media Creative Lead

  • Ehtisham Ul Haq

    Tech Lead

  • Mohammad Nabeel Sohail

    AI and Chatbot Developer | Full Stack Web | PAFLA Ambassador | Public Speaker | Trainer

    Communications Lead

  • Kashan Khan Ghori

    Softseek International

    Operations Lead

  • Daniyal Jamil

    Technology Links

    Marketing Lead

  • Sami Faiz Qureshi

    ConciSafe

    Event Management Lead

  • Maham Amjad

    Content Writing Lead

  • Syed Affan Hussain

    HnH Soft Tech Solutions Pvt Ltd

    Host

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