Convolutional Neural Networks in PyTorch - DLMC13

A Convolutional neural network (CNN) is a neural network that has one or more convolutional layers and is used mainly for image processing, classification, segmentation, and also for other autocorrelated data. A convolution is essentially sliding a filter over the input. We have learned and implemented CNN so far in TensorFlow, let's see how it will be looking in PyTorch. Are you ready?

Dec 25, 2020, 3:05 – 4:30 PM

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Key Themes

Machine Learning

About this event

A Convolutional neural network (CNN) is a neural network that has one or more convolutional layers and is used mainly for image processing, classification, segmentation, and also for other autocorrelated data. A convolution is essentially sliding a filter over the input. We have learned and implemented CNN so far in TensorFlow, let's see how it will be looking in PyTorch. Are you ready?

Speaker

  • Muhammad Huzaifa Shahbaz

    Lenaar Digital

    Co-founder

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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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  • 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

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  • Sami Faiz Qureshi

    ConciSafe

    Event Management Lead

  • Maham Amjad

    Content Writing Lead

  • Syed Affan Hussain

    HnH Soft Tech Solutions Pvt Ltd

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