Explain the fundamental methods used in neural networks, including single and multi-layer perceptrons.
Demonstrate knowledge of both supervised and unsupervised learning algorithms and apply these techniques to various neural network models.
Apply neural network methods to pattern classification problems, showcasing their ability to design and implement solutions that accurately classify data.
Utilize neural networks for function approximation problems, demonstrating proficiency in using these models to predict and approximate complex functions in various contexts.