Learn about the weight decay loss.
Here's what I've written (so far):
Explore the Conv and the FC layer of a neural network.
Learn about the Scale-Invariant Feature Transform (SIFT).
Learn about the term ablation study in the field of machine learning
Explore the differences between an epoch, a batch, and a mini-batch.
Explore the differences between k-fold leave-one-out cross-validation techniques.
Explore three common methods for computing the similarity between colors.
Learn about a method that converts a color from HSL to RGB.
Learn about the mAP metric for object detection.
Learn about the hidden layers in a neural network.