NNDL-Projects

Projects of Neural Networks and Deep Learning Course @ University of Tehran

Contents of each project

CA1

• Mcculloch-Pitts Network
• AdaLine and MadaLine
• Restricted Boltzmann Machine
• Multi Layer Perceptron (MLP)

CA2

• CNN
• Impact of Resolution on CNN

CA3

• Transfer Learning
• YOLOv6

CA4

• Air Polution Prediction
• Fake New Detection
• Linear interpolation method
• Pearson correlation
• R^2
• CNN-LSTM
• CNN-RNN

CA5

• BERT
• BEIT
• Image Segmentation

CA6

• Deep Convolutional GAN (DCGAN)
• Auxiliary Classifier GAN (ACGAN)
• Wasserstein GAN (WGAN)

Extra Project

• Fraud Detection using Deep Learning
• Auto-Encoders
• Liveness Detection