Hesam Asadollahzadeh

Hesam Asadollahzadeh

B.Sc. Student

Projects

Transformers, BERT, and BEIT

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,
BEIT: BERT Pre-Training of Image Transformers,
Neural Networks & Deep Learning,
Dr. Ahmad Kalhor,
Autumn 2022

Github, Report (Persian)

Generative Adversarial Networks (DCGAN, AC-GAN, Wasserstein Loss, and WGAN)

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks,
Conditional Image Synthesis With Auxiliary Classifier GANs,
Wasserstein GAN (WGANs) (Arjovsky et al. 2017),
Neural Networks & Deep Learning,
Dr. Ahmad Kalhor,
Autumn 2022

Github, Report (Persian)

Transfer Learning & YOLOv6

Skin Cancer Classification Model Based on VGG19 and Transfer Learning,
Single-stage Object Detection with YOLOv6 on Chess Dataset,
Neural Networks & Deep Learning,
Dr. Ahmad Kalhor,
Autumn 2022

Github, Report (Persian)

RNN, LSTM, GRU, CNN-LSTM

Air‑pollution prediction in smart city, deep learning approach,
Fake news detection: A hybrid CNN-RNN based deep learning approach,
Neural Networks & Deep Learning,
Dr. Ahmad Kalhor,
Autumn 2022

Github, Report (Persian)

Convolutional Neural Networks (CNNs)

Effects of Varying Resolution on Performance of CNN based Image Classification,
CNN Model for Image Classification on MNIST and Fashion-MNIST Dataset,
Neural Networks & Deep Learning,
Dr. Ahmad Kalhor,
Autumn 2022

Github, Report (Persian)