Deep Learning NNets Assignments Repository

Requirements

It is recommended to setup a conda env and install pytorch with cuda there because pytorch in python 3.11 is not supported in all operating systems tests gone through conda env in python 3.8

To do this install anaconda or miniconda Run:

conda create -n myenv python=3.8 

conda activate myenv 

git clone https://github.com/ArtoriasAbyssslayer/DeepLearning-NNets.git

cd DeepLearning-NNets

update pip and install deps with pip:

pip install -r ./requirements.txt

conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia 

Table of Assigments

Intro Assignment

• Knn , Ncc Comparison

Assignment 1

• MLP - NeuralNet composition in python (tensorflow,torch) with custom architecture that is used for supervised classification of the images of the CIFAR dataset
• Also Tested in Intel-Image-Classification Dataset Intel_Dataset

Assignment 2

• SVM

Assignment 3

• Auto-Encoder