Course Details

Course Details
Course No. : 2010042323
Course Name : Neural Networks & Deep Learning
Prerequisite : 2010042220
Credit  : 3
Theory credit : 3
Practical Credit : 0
Course Discription : This course introduces and relates the basic concept of neural networks. The course will provide a current and coherent view of artificial neural networks. The neural net algorithms will be discussed to understand contemporary neurocomputing technology. It emphasizes mathematical analysis of neural networks, methods for training networks, and application of networks to practical problems. Neural network implementation will be discussed to understand contemporary neurocomputing and soft-computing techniques. The course will focus on Understanding the major technology trends driving Deep Learning: Be able to build, train and apply fully connected deep neural networks, Know how to implement efficient (vectorized) neural networks, Understand the key parameters in a neural network's architecture.
Syllabus : Download
The Course offering during the Second Semester-2025/2026
Section NOTheory SectionTeacherTime & Location
10 DR NAWAF FARHAN FANKUR ALSHDAIFAT 08,30 - 09,30 ح ث خ / المادة تدرس بشكل مدمج في مبنى تكنولوجيا المعلومات تك110 / على منصة(مايكروسوفت teams)
20 DR NAWAF FARHAN FANKUR ALSHDAIFAT 12,30 - 13,30 ح ث خ / المادة تدرس بشكل مدمج في مبنى الحسين الباني ح.ب 209 / على منصة(مايكروسوفت teams)