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A Selective Overview of Deep Learning
[article]
2019
arXiv
pre-print
Deep learning has arguably achieved tremendous success in recent years. In simple words, deep learning uses the composition of many nonlinear functions to model the complex dependency between input features and labels. While neural networks have a long history, recent advances have greatly improved their performance in computer vision, natural language processing, etc. From the statistical and scientific perspective, it is natural to ask: What is deep learning? What are the new characteristics
arXiv:1904.05526v2
fatcat:6b2nhrmnsnezbowhahkue637fq