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9.6.Random-generate pseudo-random numbersSource Code: lib/random.py
This module implements pseudo-random number generators for various distributions.This module implements pseudo-random number generation and various distributions For
Random is used to generate random numbers. we can use it to randomly generate numbers or select strings. & Amp; #8226; random. seed (x) changes the seed of the random number generator. Generally, you do not need to set seed. Python automatically
Python's random module and python implementation method of weighted random algorithm, randompython
Random is used to generate random numbers. We can use it to randomly generate numbers or select strings.
• Random. seed (x) changes the seed of the
This article mainly introduces Python's random module related content, has the certain reference value, needs the friend to be possible the reference, hoped can help everybody.
Random module
Used to generate pseudo-random numbers
The real random
GANThe Generation countermeasure Network (GAN), introduced by Goodfellow and others in 2014, is an alternative to VAE for learning the potential space of the image . They are statistically almost indistinguishable from real images by forcing an
Reference: 1, official website; 2, others 'Here's how to do the Random module:1Random.seed (A=none, version=2)#Initializes a pseudo-random number generator. If a or a=none is not provided, the system time is used as the seed. If a is an integer, it
"This article are a continuation from a wizard ' s Guide to Autoencoders:part 1, if you haven ' t read it but are familiar wit H The basics of autoencoders then continue on. You'll need to know a little bit about probability theory which can is
Author: gnuhpcSource: http://www.cnblogs.com/gnuhpc/
1. Introduction
This project is written by a PhD student at Ohio State University (OSU), http://web.engr.oregonstate.edu /~ Hess/, the doctor described the project on his personal homepage as
Have to say, the depth of learning framework update too fast, especially to the Keras2.0 version, fast to Keras Chinese version is a lot of wrong, fast to the official document also has the old did not update, the anterior pit too much.To the
The original book: "AI Technology in Game programming"
Excerpt from: http://blog.csdn.net/starxu85/article/details/3143533
Original: http://blog.csdn.net/zzwu/article/category/243067
. (one of the serials) introduce neural networks in normal
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