Deniz dzorlu
hussius
/ ae_toy_example.py
Last active
June 28, 2019 17:12
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], |
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| """Information Retrieval metrics | |
| Useful Resources: | |
| http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
| http://www.nii.ac.jp/TechReports/05-014E.pdf | |
| http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
| http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
| Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
| """ | |
| import numpy as np |