e Compare and contrast localist and distributed representation schemes employed in connectionist networks. Explain how this distinction adds to our understanding of how neural networks mv process informations in ways that are qualitatively different from CRUM * What tvpe of processing attributes does addition of recurrent connections & feedback loops add? * What is a Deep Learning network? What 2 basic innovations led to the rapid development of Deep Learning models? Explain how a Deep Learning network might approach the problem of localizing faces when taking a picture? e Compare and contrast localist and distributed representation schemes employed in connectionist networks. Explain how this distinction adds to our understanding of how neural networks mv process informations in ways that are qualitatively different from CRUM * What tvpe of processing attributes does addition of recurrent connections & feedback loops add? * What is a Deep Learning network? What 2 basic innovations led to the rapid development of Deep Learning models? Explain how a Deep Learning network might approach the problem of localizing faces when taking a picture