IHIaadj/reading_sessions

Contains notebooks and description files of the article read during our weekly friday sessions.

SOAI Reading Sessions

Contains notebooks and description files of the article read during our weekly friday sessions.

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Reading Session #1: AlexNet

Friday 24/12/2021 and 31/12/2021 were dedicated to read ImageNet Classification with Deep Convolutional Neural Networks article. The files concerning these sessions are in ./AlexNet.

AlexNet is the first large CNN that achieved a state-of-the-art accuracy in 2012 on the large dataset "ImageNet". During this session, we went over:

• How to create a simple MLP and train it on the MNIST dataset
• Create a CNN to avoid overfitting MLPs on large dataset
• Use a pretrained Alexnet on an image
• Summary of the paper

Reading session #2 : Spiking neural networks

we have read Survey of Purpose of Hardware Implementation of Spiking Neural Networks.

The files concerning these sessions are in ./SNN .

• spiking CNN with 98% accuracy on mnist using spikingjelly - Amine Ziad Ounnoughene

Reading session #3 : "TABULAR DATA: DEEP LEARNING IS NOT ALL YOU NEED"

we have downloaded the data from here link
we have read TABULAR DATA: DEEP LEARNING IS NOT ALL YOU NEED.

The files concerning this session are in ./DL IS NOT ALL YOU NEED .

• XGB boost and TabNet trained with the used hyperparameters in the paper on the Covertype dataset
• Challenge : A weighted ensemble average of the XGB boost and the TabNet predictions