Neural-Networks-and-Deep-Learning-Course-Projects-F2024

Neural Networks and Deep Learning course projects from the Fall semester at the University of Tehran, supervised by Dr. Kalhor.

For detailed information on each homework's documents, source articles, implementation codes, and reports, see their respective directories.

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Homework 1

1. Analysis and Design of Multilayer Neural Networks (MLP)
2. Training and Evaluation of a Simple Neural Network
3. MAdaline
4. MLP

Homework 2

1. Cancer Lesion Detection Using CNN
2. Bean Leaf Disease Detection Using Transfer Learning

Homework 3

1. Brain Tumor Segmentation from MRI Images Using UNet-VGG16
2. Traffic Sign Detection Using Faster R-CNN with ResNet50-FPN Backbone and SSD300 with VGG16

Homework 4

1. Spam Detection Using CNN-LSTM
2. Crude Oil Price Prediction Using LSTM, Bi-LSTM, and GRU

Homework 5

1. Wind Power Prediction Using Transformer Network and Huber Loss
2. White Blood Cell Image Classification Using ViT

Homework 6

1. Design and Implementation of a Triplet VAE for Tumor Detection in MRI
2. Design and Implementation of AdvGAN Model

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Contributors:

• Mohammad Amin Yousefi
• Mohammad Nemati