- R Deep Learning Essentials
- Mark Hodnett Joshua F. Wiley
- 109字
- 2021-08-13 15:34:31
Building neural networks from scratch in R
Although we have already used some neural network algorithms, it's time to dig a bit deeper into how they work. This section demonstrates how to code a neural network from scratch. It might surprise you to see that the core code for a neural network can be written in fewer than 80 lines! The code for this chapter does just that using an interactive web application written in R. It should give you more of an intuitive understanding of neural networks. First we will look at the web application, then we will delve more deeply into the code for the neural network.
推薦閱讀
- Linux KVM虛擬化架構(gòu)實(shí)戰(zhàn)指南
- Deep Learning with PyTorch
- 電腦維護(hù)365問
- 基于Proteus仿真的51單片機(jī)應(yīng)用
- 龍芯自主可信計(jì)算及應(yīng)用
- Intel Edison智能硬件開發(fā)指南:基于Yocto Project
- Istio服務(wù)網(wǎng)格技術(shù)解析與實(shí)踐
- Drupal Rules How-to
- 微服務(wù)實(shí)戰(zhàn)
- Zabbix 4 Network Monitoring
- 微服務(wù)架構(gòu)基礎(chǔ)(Spring Boot+Spring Cloud+Docker)
- The Deep Learning Workshop
- Learn Qt 5
- CPU設(shè)計(jì)實(shí)戰(zhàn):LoongArch版
- Hands-On Embedded Programming with C++17