|
LO-1
|
Defines and explains the fundamental concepts, mathematical foundations, and different architectures of artificial neural networks. |
|
LO-2
|
Builds and trains simple artificial neural network models using forward propagation, backpropagation, and optimization algorithms. |
|
LO-3
|
Compares different types of artificial neural networks, selects the appropriate network architecture for the problem type, and implements it. |
|
LO-4
|
Conducts experiments on real data sets, interprets the results, and reports or presents the findings. |