What is feature map in CNN?
Hereof, what is a feature map?
A feature map is a function which maps a data vector to feature space. The kernel trick skips the inner product step and uses a kernel function, which can be shown to produce outputs in a valid inner product space, but without the computational hassle.
Also, what are the filters in CNN? Learn More. Anonymous. Answered Jul 28, 2016. In the context of CNN, a filter is a set of learnable weights which are learned using the backpropagation algorithm. You can think of each filter as storing a single template/pattern.
Similarly, what is feature extraction in CNN?
A CNN is composed of two basic parts of feature extraction and classification. Feature extraction includes several convolution layers followed by max-pooling and an activation function. The classifier usually consists of fully connected layers.
What are the 6 basic features of a map?
- Title (as simple as Joe's House, or a city name, country, state or country.)
- Orientation (where is North).
- Scale, and while not essential to find Joe's House, it is an essential part of the map making craft.