# random number generator with weights

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### Python Standard library 3.4.3-random

Label: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 initialization of weights in TensorFlow

Label:At first did not understand StdDev is what parameters, looked for a bit, in the tensorflow/python/ops there are random_ops, which is so written:defRandom_normal (Shape, mean=0.0, stddev=1.0, dtype=Types.float32, Seed=none,

### Python's Random module detailed

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

### Generate a random number, how to leave some relatively smooth numbers.

There is an app requirement to generate a global unique number (similar to QQ number), but to leave a good number in advance or in the user registration to determine the number is not a good number ... How does this work? For example, 8-bit start,

### "Python Module Learning" 3, Random module

Tags: random selection of its media replace random module save space Reference extraction angularReference: 1, official website; 2, others 'Here's how to do the Random module:1Random.seed (A=none, version=2)#Initializes a pseudo-random number

### [Deep-learning-with-python] Gan image generation

Tags: excellent binary on sampling SSE upload ICT together set addGANThe 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

### A detailed description of the use of generators and yield statements in Python

Before I started the course, I asked students to fill out a questionnaire that reflected their understanding of some of the concepts in Python. Some topics ("If/else Control Flow" or "defining and using Functions") are not a problem for most

"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 found

### Grooming Caffe Code Common (eight)

Label:In order to comb the process of data_layer, finishing half found that there are several very important header files are listed in the title of these several:Start from the foundation. What kind of ghosts are there?Common classUse of namespaces:

### Keras Series ︱ Image Multi-classification training and using bottleneck features to fine-tune (iii)

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 dispatc

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