Junbum Cha khanrc
khanrc
/ ae_toy_example.py
Created
January 4, 2016 16:15
— forked from hussius/ae_toy_example.py
Toy example of single-layer autoencoder in TensorFlow
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| import tensorflow as tf | |
| import numpy as np | |
| import math | |
| #import pandas as pd | |
| #import sys | |
| input = np.array([[2.0, 1.0, 1.0, 2.0], | |
| [-2.0, 1.0, -1.0, 2.0], | |
| [0.0, 1.0, 0.0, 2.0], | |
| [0.0, -1.0, 0.0, -2.0], |
khanrc
/ autoencoder.py
Created
January 3, 2016 16:19
— forked from k501/autoencoder.py
Tensorflow Auto-Encoder Implementation
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| """ Deep Auto-Encoder implementation | |
| An auto-encoder works as follows: | |
| Data of dimension k is reduced to a lower dimension j using a matrix multiplication: | |
| softmax(W*x + b) = x' | |
| where W is matrix from R^k --> R^j | |
| A reconstruction matrix W' maps back from R^j --> R^k |