官术网_书友最值得收藏!

Introduction

A neural network is a supervised learning algorithm that is loosely inspired by the way the brain functions. Similar to the way neurons are connected to each other in the brain, a neural network takes input, passes it through a function, certain subsequent neurons get excited, and consequently the output is produced.

In this chapter, you will learn the following:

  • Architecture of a neural network
  • Applications of a neural network
  • Setting up a feedforward neural network
  • How forward-propagation works
  • Calculating loss values
  • How gradient descent works in back-propagation
  • The concepts of epochs and batch size
  • Various loss functions
  • Various activation functions
  • Building a neural network from scratch
  • Building a neural network in Keras
主站蜘蛛池模板: 嘉义县| 鞍山市| 大洼县| 徐闻县| 鄄城县| 尚志市| 凉城县| 府谷县| 理塘县| 五台县| 遂宁市| 肇东市| 西吉县| 广东省| 壶关县| 溆浦县| 望奎县| 新晃| 临沭县| 囊谦县| 乌兰察布市| 湾仔区| 萍乡市| 雅安市| 应用必备| 许昌市| 余庆县| 磴口县| 繁昌县| 修水县| 珠海市| 乐安县| 安多县| 花莲县| 锦屏县| 远安县| 灵宝市| 额济纳旗| 琼海市| 鱼台县| 沅江市|