Convolutional Neural Networks in Tensor Flow - DLMC11

CNN's are regularized versions of multilayer perceptrons. Multilayer perceptrons usually mean fully connected networks, that is, each neuron in one layer is connected to all neurons in the next layer. In deep learning, CNN seems to be a very famous model that should be known to all. Let's see how will it goes.

Dec 23, 2020, 3:00 – 4:30 PM

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Key Themes

Machine Learning

About this event

In this workshop, we will be diving into CNN using TensorFlow. CNN's are regularized versions of multilayer perceptrons. Multilayer perceptrons usually mean fully connected networks, that is, each neuron in one layer is connected to all neurons in the next layer. In deep learning, CNN seems to be a very famous model that should be known to all. Let's see how well it goes.

Speaker

  • Muhammad Huzaifa Shahbaz

    Lenaar Digital

    Co-founder

Partners

Office of Research, Innovation & Commercialization - ORIC logo

Office of Research, Innovation & Commercialization - ORIC

IEEE SSUET - Student Branch logo

IEEE SSUET - Student Branch

IEEE Computer Society SSUET logo

IEEE Computer Society SSUET

Amal4Ajar logo

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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