* 참고 : 이 글은 colab의 .ipynb 파일을 통하여 실험하였습니다. 1. Deep Learning Basics Deep Learning Learn hierarchical representations and the prediction model simultaneously, that are optimal for given task. Deep in the sense that it has multiple levels of non-linear feature transformations. Artificial Neural Networks Systems of interconnected neurons which learns parameters that non-linearly converts some inputs..