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

  • Areej Alghamdi

    Data Scientist

  • Mais Alheraki

    Invertase

    GDG Organizer

  • Nawal Alhamwi

    Backyard Experiential

    Jeddah Lead

  • Maryam Alhuthayfi

    Zain KSA

    Medina Lead

  • Ashwaq Alawoor

    King abdolaziz specialist hospital

    Taif Lead

  • Adnan Sawas

    Saudi Aramco

    GCDC Eastern

  • Yazeed AlKhalaf

    Tweeq

    Software Engineer

  • Hady’s Dash

    GCDC Organizer

  • Hadi Alsinan

    TaqaPay

    Eastern Lead

  • Wadha AlKhaldi

    Eastern Lead

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