Educational workshops : ICSPIS 2026 -12th International Conference on Signal Processing and Intelligent Systems

Educational workshops

Workshop Title: Introduction to Deep Learning and Neural Network Implementation with PyTorch

Duration: 4 Hours

By: Amirreza Fateh (PhD Student in Artificial Intelligence, Iran University of Science and Technology)

Workshop Outline:

Overview of Artificial Intelligence, Machine Learning, and Deep Learning concepts
Introduction to the structure and operation of Artificial Neural Networks
Introduction to the PyTorch library and its fundamental concepts
Data preparation and working with Dataset and DataLoader
Implementing and training a simple neural network for image classification
Introduction to Convolutional Neural Networks (CNNs) and their applications
Implementing a CNN model and evaluating its performance
Overview of recent applications of deep learning in computer vision and artificial intelligence

Abstract: Deep Learning is one of the most important branches of Artificial Intelligence and has experienced remarkable progress in recent years. It has been widely applied in fields such as computer vision, natural language processing, healthcare, autonomous vehicles, and intelligent systems. Today, many advanced AI models are developed based on deep neural networks, making familiarity with the concepts and tools of deep learning an essential requirement for students and researchers.

In this workshop, the fundamental concepts of deep learning and neural networks will first be introduced in a simple and intuitive manner. Participants will then become familiar with the PyTorch framework, one of the most widely used tools for developing deep learning models, and will learn the practical steps of data preparation, model design, training, and evaluation. Next, Convolutional Neural Networks (CNNs) and their applications in image classification tasks will be presented, followed by a hands-on implementation example using PyTorch. Finally, an overview of modern deep learning applications and recommended learning paths for further study will be provided.

Workshop Title: Trustworthy Machine Learning

Duration: 4 Hours

By: Dr. Esmaeel Tahanian (Assistant Professor, Shahrood Univesity of Technology)

Conference Countdown

5 month(s), and 4 day(s)