Artificial Neural Networks (ANN): From Theory to Code

Google Developer Community Online

ANNs mimic the human brain and are considered weighted, directed graphs. In this event, we will explore the fundamental components of ANNs, and have an in-depth discussion on the architecture of ANNs and the mathematical intuition behind them.

May 3, 4:30 – 5:30 AM (UTC)

27 RSVP'd

Key Themes

Build with AIMachine Learning

About this event

ANNs mimic the human brain and are considered weighted, directed graphs. In this event, we will explore the fundamental components of ANNs, and have an in-depth discussion on the architecture of ANNs and the mathematical intuition behind them.

Organizers

  • Aurélien Coppée

    Student

  • Jhin LEE

    Unity

    Fullstack developer

  • Neïl Rahmouni

  • Lisa Carpenter

    Digital Futures

    Lead Data Science Instructor

  • Xavier Portilla Edo

    Voiceflow

    Infrastructure Engineer

  • Shwetangi Tiwari

    Organiser

  • Julius Boakye

    Talent Co-Op

    Organizer

  • Shivam Pandey

    Bizyam

    Build with AI event organizer

  • Shivam Suchak

    T-systems Internationals

    Organizer

  • Fenil Modi

    GDSC UVPCE

    Organizer

  • Israel Blancas

    Red Hat

    Software Engineer

  • Bibek Dhakal

    CollegeTiffin

    Organizer

  • Leslie Herrera

    LATAM Airlines

    Software Engineer

  • Ahdaa Yeh

    GDG Taichung

    Organizer

  • Herin Soni

    Organizer

  • Francesco Passantino

    Organizer

  • B AURORA RZ Valles

    Organizador

    Profesional IT

  • Seffih Oualid Redouane

    Front End Developper

  • Divyanshu Tiwari

  • Nikita Toropov

    Organizer

  • Mustapha Adekunle

    Organizer

  • Federica Nocerino

    Organizer

  • Carolina Torres Restrepo

    Build with AI event organizer

  • Chrinovic Mukeba

    Tulivia

    Android and Mobile development apprentices

  • Kevin Villatoro

    Site Reliability Engineer