MENADD | Modern Convolutional Neural Networks(AlexNet-VGG-NiN-GoogLeNet)

Taking a tour of modern CNN architectures. Agenda: 1- Some basic concepts of CNN - MLP VS. CNN - ConvNet Layer - Kernel - Stride - Padding - ReLU - Pooling Layer - Fully connected layer - Feature Maps 2-LeNet 3-ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 4-Modern Convolutional Neural Networks - AlexNet - VGG - NiN - GoogLeNet - ResNet - DenseNet

Nov 15, 2022, 5:00 – 6:00 PM

17
RSVP'd

Key Themes

AIMachine Learning

About this event

Taking a tour of modern CNN architectures.

Agenda:

1- Some basic concepts of CNN

- MLP VS. CNN

- ConvNet Layer

- Kernel

- Stride

- Padding

- ReLU

- Pooling Layer

- Fully connected layer

- Feature Maps

2-LeNet

3-ImageNet Large Scale Visual Recognition Challenge (ILSVRC)

4-Modern Convolutional Neural Networks

- AlexNet

- VGG

- NiN

- GoogLeNet

- ResNet

- DenseNet

Speaker

  • Ruqiya Bin Safi

    ML GDE

Organizers

  • Abdulaziz Alhammadi

    TechTrans

    GDG Lead

  • Areej Alghamdi

    WTM Saudi Lead

  • Mais Alheraki

    Invertase

    GDG Lead

  • Nawal Alhamwi

    Backyard Experiential

    Jeddah Lead

  • Maryam Alhuthayfi

    Zain KSA

    Medina Lead

  • Hadi Alsinan

    TaqaPay

    Eastern Lead

  • Wadha AlKhaldi

    Eastern Lead

  • Salah Alboijan

    netzero

    Eastern Lead

  • Yazeed AlKhalaf

    Tweeq

    Software Engineer

  • Afnan HamId

    Swave

    Lead

  • Kumail Alawa

    Organizer

  • Loura Alfarsi

    PNU

    Organizer

  • Hadi Al-Marzooq

    Organizer

  • Nema Alnajjar

    Triner

    Organizer

  • Farah Al Safwan

    Organizer

  • Reem Alqershi

    WSC

    Organizer

  • Ahmad Al Nasser

    Organizer

  • Danah Alnoghaither

    Organizer

  • Rahaf Almuzaini

    Organizer

  • NOUF ASIRI

    Organizer

  • Saud Bin Abdulaziz

    Organizer

  • Shaden Hamad

    Organizer

  • Noha Murad

    Organizer

  • Mariam Alahmar

    Riyadh

    Organizer