# learning momentum

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cs231n Introduction See cs231n Course notes 1:introduction.Note: Italics are used to indicate the author's own thinking, correctness has not been validated, welcome advice. Optimized iterative algorithm Write in front: Karpathy recommends Adam as

### SGD, Momentum, Rmsprop, Adam differences and connections

Reprint Address: https://zhuanlan.zhihu.com/p/32488889 optimization algorithm Framework: calculates the gradient of the target function on the current parameter: calculates the first and second-order momentum based on the historical gradient:

### Python implementation of the Momentum (momentum) method

The momentum method can be said to be a further optimization of SGD, details can be found hereHere is a simple implementation of Python with the following:#Coding=utf-8"""Momentum (momentum) reference based on low-volume gradient descent: 72615621

### The role of momentum in deep learning

When training a network, the initial weights of the network are usually initialized according to a certain distribution, such as Gaussian distribution. Comparison of the performance impact of the initialization weight operation on the final

Deep Learning Notes (i): Logistic classificationDeep learning Notes (ii): Simple neural network, back propagation algorithm and implementationDeep Learning Notes (iii): activating functions and loss functionsDeep Learning Notes: A summary of

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from:http://blog.csdn.net/u014595019/article/details/52989301 Recently looking at Google's deep learning book, see the Optimization method that part, just before with TensorFlow is also to those optimization method smattering, so after reading on

### Deep learning optimization Algorithm Momentum Rmsprop Adam

First, Momentum1. Calculate DW, Db.2. Define V_DB, V_dw$v_{dw}=\beta v_{dw}+ (1-\beta) dw$$v_{db}=\beta v_{db}+ (1-\beta) db$3. Update DW, DB$dw=w-\alpha V_{dw}$$db=b-\alpha V_{db}$Second, RMSprop1. Calculate DW, Db.2. Define S_DB, S_dw

### Flash/flex learning notes (43): conservation of momentum and energy

Kinetic Energy formula:   Momentum formula:   Conservation of momentum:   Conservation of energy:   According to these rules, the following equations can be obtained:     Solve the equations and obtain the following formula:     Subtract the two

### One of the most commonly used optimizations in machine learning--a review of gradient descent optimization algorithms

Transferred from: http://www.dataguru.cn/article-10174-1.html Gradient descent algorithm is a very extensive optimization algorithm used in machine learning, and it is also the most commonly used optimization method in many machine

### The application of deep learning in the ranking of recommended platform for American group Review--study notes

Written in Front: it is said that next week will be xxxxxxxx, frighten the baby hurriedly find some advertising things to seeGbdt+lr's model was known before, and Dnn+lr's model was known, but none of them had been tested.The application of deep

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