tomokishii

README.md

These codes are TensorFlow Autoencoder implementation examples. They are inspired by very educational Keras Blog article.

http://blog.keras.io/building-autoencoders-in-keras.html

Building Autoencodes in Keras

"Autoencoding" is a data compression algorithm where the compression and decompression

tomokishii

#
#  mnist_cnn_bn.py   date. 5/21/2016
#                    date. 6/2/2017 check TF 1.1 compatibility
#

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os

tomokishii

Logistic Regression Demo by TensorFlow

Logistic Regression is the basic concept of recent "Deep" neural network models. I rechecked TensorFlow L.R. coding to classify IRIS dataset.

• Binary Classification problem - iris_lr.py
• Multi-class Classification problem - iris_lr_softmax.py

tomokishii

tomokishii

# 
#  adult_LR_classifier.py    date. 10/17/2015
#    SGD (Stochastic Gradient Descent) version
#    consider 3 features of dataset
#   

import numpy as np
import numpy.random as rng
import matplotlib.pyplot as plt
import scipy as sp