The College of Computer Science and Information Technology organized a training course entitled “Introduction to Deep Neural Networks with Python”, held within the scientific departments of the college.
The course aimed to introduce participants to the fundamentals of one of the most significant branches of artificial intelligence.
The course was led by Dr. Noor Diaa and Assistant Lecturer Maryam Hussein, with the participation of several students and individuals interested in artificial intelligence and data analysis.
The course began with a comprehensive introduction to the concept of Deep Learning, as a subfield of Machine Learning, which itself falls under the broader umbrella of Artificial Intelligence. The instructors clarified the key differences between these three concepts:
- Artificial Intelligence (AI) refers to the broad goal of simulating human capabilities.
- Machine Learning (ML) focuses on enabling machines to learn from data without being explicitly programmed.
- Deep Learning (DL) is a specialized area within ML that deals with neural networks composed of multiple layers.
The instructors also presented real-world applications of deep learning, such as image and speech recognition systems, machine translation, and text generation, helping participants understand how these technologies contribute to advancements in daily life.
The first day of the course concluded with a practical session on setting up the appropriate environment for deep learning using the Python programming language. The session covered essential tools and libraries such as TensorFlow and PyTorch.
