These images showing an image broken down into its frequency components provide some insight and intuition on how feature extraction and neural networks work, since a layer in a convolutional neural network is essentially a filter passing over an image (or input data).
kim
Yup, it's really interesting! In the convolution layer in a CNN, the sets of weights are usually the filters/kernels.
These images showing an image broken down into its frequency components provide some insight and intuition on how feature extraction and neural networks work, since a layer in a convolutional neural network is essentially a filter passing over an image (or input data).
Yup, it's really interesting! In the convolution layer in a CNN, the sets of weights are usually the filters/kernels.