- Deep Learning with PyTorch
- Vishnu Subramanian
- 135字
- 2021-06-24 19:16:21
The history of deep learning
Though deep learning has become popular in recent years, the theory behind deep learning has been evolving since the 1950s. The following table shows some of the most popular techniques used today in DL applications and their approximate timeline:

Deep learning has been given several names over the years. It was called cybernetics in the 1970s, connectionism in the 1980s, and now it is either known as deep learning or neural networks. We will use DL and neural networks interchangeably. Neural networks are often referred to as an algorithms inspired by the working of human brains. However, as practitioners of DL, we need to understand that it is majorly inspired and backed by strong theories in math (linear algebra and calculus), statistics (probability), and software engineering.
- 用“芯”探核:龍芯派開(kāi)發(fā)實(shí)戰(zhàn)
- Raspberry Pi 3 Cookbook for Python Programmers
- Learning AngularJS Animations
- 電腦常見(jiàn)問(wèn)題與故障排除
- 單片機(jī)原理及應(yīng)用系統(tǒng)設(shè)計(jì)
- Manage Partitions with GParted How-to
- micro:bit魔法修煉之Mpython初體驗(yàn)
- scikit-learn:Machine Learning Simplified
- 筆記本電腦維修不是事兒(第2版)
- 計(jì)算機(jī)組裝與維護(hù)(第3版)
- Rapid BeagleBoard Prototyping with MATLAB and Simulink
- Machine Learning Solutions
- 基于PROTEUS的電路設(shè)計(jì)、仿真與制板
- FreeSWITCH Cookbook
- 基于網(wǎng)絡(luò)化教學(xué)的項(xiàng)目化單片機(jī)應(yīng)用技術(shù)