Tensorflow Dataset API - DLMC04

In this workshop, we will start by refactoring the linear regression we implemented in the previous lab so that it takes data from a tf. data.Dataset, and we will learn how to implement stochastic gradient descent with it. In this case, the original dataset will be synthetic and read by the tf.data API directly from memory.

Dec 8, 2020, 3:05 – 4:30 PM

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Key Themes

Machine Learning

About this event

In this workshop, we will start by refactoring the linear regression we implemented in the previous lab so that it takes data from a tf. data.Dataset, and we will learn how to implement stochastic gradient descent with it. In this case, the original dataset will be synthetic and read by the tf.data API directly from memory.

In the second part, we will learn how to load a dataset with the tf.data API when the dataset resides on disk.

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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