【Deep Learning Nanodegree Foundation笔记】第 1 课:INTRODUCTION Welcome

Welcome to the Deep Learning Nanodegree Foundations Program! In this lesson, you'll meet your instructors, find out about the field of Deep Learning, and learn how to make the most of the resources Udacity provides.

Program Structure

Every week, you can expect to see this content coming up:

每周,我可以预期看见下面的这些内容:

  • Siraj's videos
    • Short introductory video  简短的介绍视频
    • One hour live session       一个小时的直播
  • Additional lesson(s) from Mat & other Udacity experts  来自Mat和其他Udacity专家的其他课程

Then, approximately every four weeks you'll get a project.   大约每4周,将会有一个新的项目

The First Week

Don't worry if you didn't follow some of the terminology we used! Here's a little information for those of you who are interested in finding out more:

  • Scikit-learn
    • An extremely popular Machine Learning library for python.
  • Perceptrons
    • The simplest form of a neural network.
  • Gradient Descent
    • A process by which Machine Learning algorithms learn to improve themselves based on the accuracy of their predictions. You'll learn more about this in upcoming lessons.
  • Backpropagation
    • The process by which neural networks learn how to improve individual parameters. You'll learn all about this in the upcoming lessons.
  • Numpy
    • An extremely popular library for scientific computing in python.
  • Tensorflow
    • One of the most popular python libraries for creating neural networks. It is maintained by Google.
原文地址:https://www.cnblogs.com/custer/p/6367199.html