Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)
Автор: Steven Van Vaerenbergh
Загружено: 2017-12-08
Просмотров: 28026
Tutorial Deep Learning: Practice and Trends. Nando de Freitas, Scott Reed, Oriol Vinyals.
0:02:06 Part I: Practice. The Deep Learning Toolbox
0:39:18 Part II: Trends. Autoregressive Models
0:58:45 Part II: Trends. Domain Alignment
1:12:57 Part II: Trends. Learning to Learn / Metalearning
1:22:06 Part II: Trends. Graph Networks
1:30:10 Part II: Trends. Program Induction
Abstract:
Deep Learning has become an essential toolbox which is used in a wide variety of applications, research labs, industry, etc. In this tutorial, we will provide a set of guidelines which will help newcomers to the field understand the most recent and advanced models, their application to diverse data modalities (such as images, videos, waveforms, sequences, graphs,) and to complex tasks (such as learning to learn from a few examples, or generating molecules).
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