AI@UCF: Spring 2018

This Semester's Plan

We’ve made some modifications to the content and polished the lecture-workshops, while still sticking true to our deep-learning and reinforcement-learning focus. We added both Convolutional and Recurrent Neural Networks to our content, with a focus on a deeper technical understanding.

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Our first offering of Core. We started out with a history of neural networks and learned to implement them, from sratch. We then delved into Reinforcement Learning and further explored Evolutionary Computation.

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This semester we took a step back to broaden our view of machine learning. We looked at older (but still capable) statistical tools and incorporated more of the deep learning stack to give you the tools to participate in many of the research groups at UCF and abroad focused on machine learning.