Learning Filters with Unsupervised Learning

An unsupervised learning method for learning filters that can extract meaningful features out of images

Data is everything. Especially in deep learning, the amount of data, type of data, and quality of data are the most important factors. Sometimes the amount of labeled data that we have is not enough or the problem domain that we work on does not make sense to use a big amount of data such as in few-shot learning. The important factors in those situations are the algorithms. In deep…