Gradient descent: Revision history

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curprev 22:2822:28, 8 May 2016‎ Vipul talk contribs‎ 12,459 bytes +4‎ →‎Types of gradient descent
curprev 22:2822:28, 8 May 2016‎ Vipul talk contribs‎ 12,455 bytes +12‎ →‎Types of gradient descent

curprev 22:4922:49, 21 January 2015‎ Vipul talk contribs‎ 12,443 bytes −12‎ →‎Intuition behind choice of learning rate

curprev 16:1616:16, 18 January 2015‎ Vipul talk contribs‎ 12,455 bytes +215‎ →‎Iterative step
curprev 16:1016:10, 18 January 2015‎ Vipul talk contribs‎ 12,240 bytes +33‎ →‎Iterative step

curprev 01:0501:05, 12 September 2014‎ Vipul talk contribs‎ 12,207 bytes −18‎ →‎Gradient descent in a typical machine learning context

curprev 15:0315:03, 1 September 2014‎ Vipul talk contribs‎ 8,809 bytes +21‎ →‎Iterative step
curprev 14:5814:58, 1 September 2014‎ Vipul talk contribs‎ 8,788 bytes +144‎ →‎Types of gradient descent
curprev 14:5414:54, 1 September 2014‎ Vipul talk contribs‎ 8,644 bytes +137‎ →‎Variants that do not require the framework of additive separability
curprev 14:5214:52, 1 September 2014‎ Vipul talk contribs‎ 8,507 bytes −71‎ →‎Types of gradient descent

curprev 02:1302:13, 31 May 2014‎ Vipul talk contribs‎ 4,191 bytes +200‎ No edit summary

curprev 22:1322:13, 9 May 2014‎ Vipul talk contribs‎ 740 bytes +740‎ Created page with "==Definition== Gradient descent is a general approach used in first-order iterative optimization algorithms whose goal is to find the (approximate) minimum of a function of m..."

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