6 Teaching machines to see: Image classification with CNNs
This chapter covers
- Exploratory data analysis on image data in Python
- Preprocessing and feeding data via image pipelines
- Using the Keras functional API to implement a complex CNN model
- Training and evaluating the CNN model
We have already done a fair bit of work on CNNs. CNNs are a type of network that can operate on two-dimensional data, such as images. CNNs use the convolution operation to create feature maps of images (i.e., a grid of pixels) by moving a kernel (i.e., a smaller grid of values) over the image to produce new values. The CNN has several of these layers that generate more and more high-level feature maps as they get deeper. You can also use max or average pooling layers ...
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