Reading tips: chapter 2
What different types of architectures are there?
What different kinds of learning principles are there in ANNs?
What can a linear one layer network do?
What is Hebb's learning hypothesis?
What can a thresholding one layer network do?
What is meant by linearly separable patterns?
How does the perceptron learning work?
Will the learning converge?
How does the delta learning rule work?