I am recently watching some tutorials for deep learning from Dr Andrew Ng on Youtube. Link is hereThe Youtube video
There is a concept of number of features in convolutional neural network in TensorFlow's tutorial.
I don't quite understand why the feature is 32 or 64 here in conv layer1 or layer2?
Then I came to the video, there is also the concept of Quadratic features. It is calculated as 3 million however. But how is it calculated?
Are the two features related in concept?