Recurrent Neural Network (ver.Python) 참고자료¶https://www.tensorflow.org (TensorFlow) 출처¶https://medium.com/@erikhallstrm/hello-world-rnn-83cd7105b767 (How to build a Recurrent Neural Network in TensorFlow (1/7), Erik Hall strom) 함께보기¶Recurrent Neural Network (ver.R) Recurrent Neural Network (ver.Python)¶ In [1]: import tensorflow as tf import numpy as np import matplotlib.pyplot as plt num_epochs ..
Autoencoder (ver.Python) DATA SET 출처¶http://archive.ics.uci.edu/ml/datasets/Iris (UCI, Iris Data Set)https://gist.githubusercontent.com/netj/8836201/raw/6f9306ad21398ea43cba4f7d537619d0e07d5ae3/iris.csv (Github, Iris Data Set) 참고자료¶https://www.tensorflow.org (TensorFlow) 함께보기¶Autoencoder (ver.R) Clustering using Autoencoder (ver.Python)¶ Iris¶ In [1]: import pandas as pd In [2]: iris = pd.read_c..
Tensorflow for R GPU installation on Ubuntu16.04 Tensorflow for R GPU installation on Ubuntu16.04 https://tensorflow.rstudio.com/installation_gpu.html https://www.tensorflow.org/install/install_linux http://docs.nvidia.com/cuda/cuda-installation-guide-linux/#axzz4VZnqTJ2A https://developer.nvidia.com/cudnnhttps://cloud.r-project.org/ Tensorflow-GPU 설치 on Ubuntu16.04 1 “CUDA® Toolkit 8.0” Install..
Tensorflow-GPU installation on Ubuntu16.04 Tensorflow-GPU installation on Ubuntu16.04 https://www.tensorflow.org/install/install_linuxhttp://docs.nvidia.com/cuda/cuda-installation-guide-linux/#axzz4VZnqTJ2Ahttps://developer.nvidia.com/cudnn Tensorflow for R GPU버전 설치 on Ubuntu16.04 1 “CUDA® Toolkit 8.0” Installation 1.1 Pre-Installation actions. 1.1.1 Verify You Have a CUDA-Capable GPU 1.1.2 Veri..
Recurrent Neural Network (ver.R) 참고자료¶https://www.tensorflow.org (TensorFlow)https://tensorflow.rstudio.com (TensorFlow for R)https://medium.com/@erikhallstrm/hello-world-rnn-83cd7105b767 How to build a Recurrent Neural Network in TensorFlow (1/7) - Erik Hallstrom 함께보기¶Recurrent Neural Network (ver.Python) Recurrent Neural Network (ver.R)¶ In [1]: require(tensorflow) num_epochs
Clustering using Autoencoder (ver.R) DATA SET 출처¶http://archive.ics.uci.edu/ml/datasets/Iris (UCI, Iris Data Set) 참고자료¶https://www.tensorflow.org (TensorFlow)https://tensorflow.rstudio.com (TensorFlow for R) 함께보기¶Autoencoder (ver.Python) Clustering using Autoencoder (ver.R)¶ Iris Data Set¶ In [1]: head(iris) Sepal.LengthSepal.WidthPetal.LengthPetal.WidthSpecies 5.1 3.5 1.4 0.2 setosa 4.9 3.0 1.4..
Multilayer Perceptron (ver.R) DATA SET 출처¶https://www.kaggle.com/ludobenistant/hr-analytics/data (Kaggle, Human Resources Analysis) (해당 데이터셋은 현재 사라졌습니다.) 참고자료¶https://www.tensorflow.org (TensorFlow)https://tensorflow.rstudio.com (TensorFlow for R) Multilayer Perceptron (ver.R)¶ The Human Resources Analysis data set¶ In [1]: HR_data_set
Convolutional Neural Network (ver.R) 출처¶http://jorditores.org/first-contact-with-tensorflow/#cap5 (First Contact with tensorflow)https://tensorflow.rstudio.com/ (TensorFlow™ for R)http://motioninsocial.com/tufte/ (Tufte in R) Convolutional Neural Network (ver.R)¶ The MNIST data-set¶ In [1]: require(tensorflow) datasets pool1 -> conv2 -> pool2 -> [inner product -> relu] -> dropout -> [inner produ..
MLP 출처¶http://jorditorres.org/first-contact-with-tensorflow/#cap5 (First Contact with tensorflow) Multi-layer Neural Networks in TensorFlow (ver. python)¶Convolutional Neural Network¶ The MNIST data-set¶ In [1]: import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("~/MNIST_data/", one_hot=True) Extracting ~/MNIST_data/train-imag..