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An Introduction to Deep Learning

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Title
An Introduction to Deep Learning
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166
Number of Parts
169
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CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Release Date2016
LanguageEnglish

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Abstract
Deep learning: how it works, how to train a deep neural network, the theory behind deep learning, recent developments and applications. ----- (length: 60 mins) In the last few years, deep neural networks have been used to generate state of the art results in image classification, segmentation and object detection. They have also successfully been used for speech recognition and textual analysis. In this talk, I will give an introduction to deep neural networks. I will cover how they work, how they are trained, and a little bit on how to get going. I will briefly discuss some of the recent exciting and amusing applications of deep learning. The talk will primarily focus on image processing. If you completely new to deep learning, please attend T. Rashid's talk 'A Gentle Introduction to Neural Networks (with Python)'. His talk is in the same room immediately before mine and his material is really good and will give you a good grounding in what I will present to you.