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: 海晏县| 兴和县| 峡江县| 临沂市| 满洲里市| 奉贤区| 鹰潭市| 高碑店市| 汉阴县| 朝阳县| 磐石市| 胶州市| 达日县| 根河市| 厦门市| 嫩江县| 广安市| 宁海县| 桃江县| 江都市| 马边| 晋城| 宜阳县| 高安市| 安西县| 金塔县| 龙井市| 建阳市| 休宁县| 永济市| 静安区| 大石桥市| 弥勒县| 山阴县| 扬州市| 河津市| 盖州市| 综艺| 遂宁市| 宜兰县| 舟曲县|