Commit ad3e3e3f authored by Derek Knox's avatar Derek Knox Committed by GitHub
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Update Neural Networks and Deep Learning by Michael Nielsen.md

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3. *pooling layers* - a layer succeeding each feature map of a convolutional layer that prepares a condensed feature map for subsequent layers
- *max-pooling* - determines if a sub-feature exists within a region
- "convolutional networks are well adapted to the translation invariance of images"
- Convolutional nets have a fraction of the parameters required (due to shared weights and bias) for traditional nets and thus train and perform much faster
- Convolutional nets have a fraction of the parameters required (due to shared weights and bias) compared to traditional nets and thus train and perform much faster
- *deep belief network* - is a generative model net that can "run the network backward" which enables generating values for the input activations (ex. generate images of MNIST handwritten digits based on network settings)
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