Neural Networks
| Course Code | COMP-258 |
|---|---|
| Lecture hours per week | 2 |
| Lab hours per week | 2 |
| Course Availability | Open |
| Description | This course covers artificial neural networks and their practical applications. Coursework emphasizes fundamental models and algorithms starting with McCulloch-Pitts and Perceptron models, Multi-Layer Perceptron (MLP) networks, backpropagation algorithm, activation functions, convolutional neural networks, and recurrent neural networks. Students will gain hands-on experience by using Keras and TensorFlow to build and train models for solving various classification/prediction problems. |