1. bias/vairance
Trend # 1:Scale driving Deep Learning process.
2. feature learning 的方式
- A common computer vision pipeline before 2012:
- a. find interest points.
- b. crop patches around them.
- c. represent each patch with a sparse local descriptor.
- d. combine the descriptors into a representation of the image.
- neural networks are trainable pipelines:
- 神经网络的组织架构本身(trainable pipelines)就能帮助我们驾驭:
- training data(
(xn,yn)n=1,…,N ) - parallel hardware
- training data(
- 神经网络的组织架构本身(trainable pipelines)就能帮助我们驾驭:
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