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lijin-THUlijin-THU
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添加了复杂的神经网络，随机数变量的部分
Former-commit-id: 6d788cd Former-commit-id: 261a258f4e078002d6069099e7d87594eee5b333 [formerly 08d533044906f1123a6e2fb43de5ac0d0660e681] [formerly 1b3b0e7f6413f06c06fd7a1f2373e920a61ae55d [formerly ec4a590d22a7de8cdcfd54adfe141dfb2eec9dbb]] [formerly 528e66797ea7464346ddfffffc56e5898465e127 [formerly 53d639148273105db0b36ad79f0b9d0f61ded53f] [formerly eb6ad68b3d50163d65ebfc04520adabf1edf4e9a [formerly 7c46e3925b3c2ebd16ed5ed8575e36a891e984c1]]] [formerly 24ab8e390ba2602c6e5764a720962df3759997be [formerly 894185c756b362a1d3e9422622e08b7fe21bed45] [formerly 7d1126bd754ea369424b20e0d5741cb6492d1cce [formerly 6639d98627241cf814d6367b0dec5f74af64ce17]] [formerly e419d45d981bd34b17d9edc2732eb70e7e71adc4 [formerly 1aa47a3e03d0fae8d892737ee2e0488c7628422b] [formerly 0439e06aefe787d7b95939312abae0501a4598ad [formerly 0510382]]]] Former-commit-id: 2e4b7d33d190b73516ec504a3aeb90683a21d466 [formerly b0b0e90f7fb2aba7e7b73d9223d24e6d04ef1b65] [formerly 1eb559aa5b37b0e37dc7e8fab8d9b4c3203b18f0 [formerly 7e4de184ad233be4dabf2d166527133215c50747]] [formerly a276e078e451b41f6d172e71f2e392fbd34a7daf [formerly dfa2c06b62b98e8d59d91a0e7a49edd6683bb895] [formerly 8eb9a7e138d7f4556dc403ba347e6d696c2bd6ca [formerly 760f22969ea5afb9615236adc09dc7c0fc2c8bd3]]] Former-commit-id: b9641d636fc695af356c914d0f462e8b4fc5b9b5 [formerly 05350dfb71d07eb2e6e3252d3d2b727149ac381d] [formerly 4e52ccac01945bcc19f4977cbc00a986fcfd6ca8 [formerly 02d5ed3cf6a23fa022dde701944014408bfdad61]] Former-commit-id: 73345031b35b648d809a5ffda9d716f2e28bfe3d [formerly 4e7f30b5d925193e530f58d4bc5bc25f26b35014] Former-commit-id: b66208544c11b26e96c5b1f9c696cfc6f7faafb6
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‎09. theano/09.07 loop with scan.ipynb.REMOVED.git-id

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‎09. theano/09.12 random streams.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Theano 变量：随机数流"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Using gpu device 1: Tesla C2075 (CNMeM is disabled)\n"
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]
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}
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],
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"source": [
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"import theano\n",
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"import theano.tensor as T\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"`Theano` 的随机数流由 `theano.sandbox.rng_mrg` 中的 `MRG_RandomStreams` 实现（`sandbox` 表示是实验代码）："
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"from theano.sandbox.rng_mrg import MRG_RandomStreams"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"新建一个 `MRG_RandomStreams(seed=12345, use_cuda=None)` 实例："
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"srng = MRG_RandomStreams()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"它支持以下方法：\n",
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"\n",
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"- `normal(size, avg=0.0, std=1.0, ndim=None, dtype=None, nstreams=None)` \n",
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" - 产生指定形状的、服从正态分布 $N(avg, std)$ 的随机数变量，默认为标准正态分布 \n",
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"- `uniform(size, low=0.0, high=1.0, ndim=None, dtype=None, nstreams=None)`\n",
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" - 产生指定形状的、服从均匀分布 $U(low, high)$ 的随机数变量，默认为 0-1 之间的均匀分布\n",
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"- `binomial(size=None, n=1, p=0.5, ndim=None, dtype='int64', nstreams=None)`\n",
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" - 产生指定形状的、服从二项分布 $B(n,p)$ 的随机数变量\n",
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"- `multinomial(size=None, n=1, pvals=None, ndim=None, dtype='int64', nstreams=None)`\n",
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" - 产生指定形状的、服从多项分布的随机数变量\n",
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"\n",
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"与 np.random.random 不同，它产生的是随机数变量，而不是随机数数组："
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[ 0.10108768 -1.64354193 0.71042836 -0.77760422 0.06291872]\n",
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"[ 0.23193923 0.71880513 0.03122572 0.97318739 0.99260223]\n",
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"[0 1 0 1 1]\n"
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]
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}
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],
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"source": [
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"rand_size = T.vector(dtype=\"int64\")\n",
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"\n",
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"rand_normal = srng.normal(rand_size.shape)\n",
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"rand_uniform = srng.uniform(rand_size.shape)\n",
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"rand_binomial = srng.binomial(rand_size.shape)\n",
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"\n",
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"f_rand = theano.function(inputs = [rand_size], \n",
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" outputs = [rand_normal, rand_uniform, rand_binomial])\n",
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"\n",
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"print f_rand(range(5))[0]\n",
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"print f_rand(range(5))[1]\n",
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"print f_rand(range(5))[2]"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

‎09. theano/09.13 modern net on mnist.ipynb.REMOVED.git-id

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‎README.md.REMOVED.git-id

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