koaning

import tensorflow as tf
import numpy as np
import uuid

x = tf.placeholder(shape=[None, 3], dtype=tf.float32)
nn = tf.layers.dense(x, 3, activation=tf.nn.sigmoid)
nn = tf.layers.dense(nn, 5, activation=tf.nn.sigmoid)
encoded = tf.layers.dense(nn, 2, activation=tf.nn.sigmoid)
nn = tf.layers.dense(encoded, 5, activation=tf.nn.sigmoid)
nn = tf.layers.dense(nn, 3, activation=tf.nn.sigmoid)

serithemage

AWS 학습 링크집 시리즈

• AWS 학습 자료집 http://bit.ly/aws-study-resource
• AWS 공인 솔루션스 아키텍트 - 어소시에이트 수험 가이드 http://bit.ly/sacertguide
• AWS 공인 개발자 - 어소시에이트 수험 가이드 http://bit.ly/devcertguide
• AWS 보안 관련 컨텐츠 모음집 http://bit.ly/seccontents

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AWS 공인 개발자 - 어소시에이트 수험 가이드(http://bit.ly/devcertguide)

vbalnt

This document describes how to install the combination of 14.04 + CUDA 7.5 + Tensorflow. This combination is the easiest to install without anything like compilation from sources etc.

Download and install Ubuntu 14.04 or 16.04

http://releases.ubuntu.com/14.04/ http://releases.ubuntu.com/16.04/

Install CUDA 8

rocarvaj

" VIM Configuration File
" Description: Optimized for C/C++ development, but useful also for other things.
" Author: Gerhard Gappmeier
"

" set UTF-8 encoding
set enc=utf-8
set fenc=utf-8
set termencoding=utf-8
" disable vi compatibility (emulation of old bugs)