Coursera - Machine Learning, Stanford: Week 5

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Overview

• Cost Function and Backpropagation

  • Cost Function

  • Backpropagation Algorithm

  • Backpropagation Intuition

• Back Propagation in Practice

  • Implementation Note: Unrolling Parameters

  • Gradient Check

  • Random Initialization

  • Put it together

• Application of Neural Networks

  • Autonomous Driving

• Review

Log

• 2/10/2017: all the videos; puzzled about backprogation

• 2/11/2017: reviewed backpropagation

Reading

Note

• Backpropagation Algorithm
  • "Backpropagation" is neural-network terminology for minimizing our cost function, just like what we were doing with gradient descent in logistic and linear regression.

Coursera - Machine Learning, Stanford: Week 5

标签：about   ide   esc   read   video   stanford   learning   gradient   regress   

原文地址：http://www.cnblogs.com/casperwin/p/6390411.html