CNN
Notes and Ideas:
Convolutional base:
- Used to **Extract the features ** from an image. it is formed primarily of layers performing the convolution operation.
Dense Head:
- The head is used to determine the class of image. it is formed primarily of dense layer, but might include other layers like dropout.
visual features:
- A feature could be a line, a color, a shape, a pattern — or some complicated combination
training the Calssifier
The goal of the network during training is to learn:
- which features to extract from an image (base)
- which class goes with what features
Transfer learning
reusing a pretrained model