Deep Learning, What Are You Good For!
summary
Overview of deep learning architectures and when to use them for different data types (text, audio, images, video). Discusses various network types and configurations to match problems to appropriate models, presenting the strengths of current approaches in the field.
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chapters (7)
- 0:00Introduction
- 4:42What is deep learning
- 9:13Basic neural networks
- 13:49Multilayer networks and complex boundaries
- 17:51Convolutional networks for images
- 26:24Recurrent networks and temporal memory
- 30:18Mixed architectures and applications
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