Title: Deep Learning With Neural Networks: The Structure and Optimization of Neural Networks
Presenter: Allan Zelener
Date: Thursday January 7th 2016 at 1:00pm
Location: CS Lab – Rm 4435, The Graduate Center
Materials: Slides
This presentation will give an overview of recent trends in deep learning and neural network research, provide a theoretical and practical understanding of the basic structure of neural networks, discuss optimization techniques for training neural networks, and introduce the commonly used convolutional and recurrent variants of neural networks. The goal of this talk is to serve as a jumping off point for future meetings of the machine learning reading group and discussion of state-of-the-art research.
This will be an introductory talk on neural networks targeted for computer science researchers with familiarity of machine learning fundamentals, however any student is welcome to attend.
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