YumaMatsuoka yumatsuoka
yumatsuoka
/ fizzbuzz.py
Last active
August 8, 2016 15:33
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/usr/sbin/env python | |
| # -*- coding: utf-8 -*- | |
| # Fizz_Buzz | |
| from __future__ import print_function | |
| print("easy ver\n") | |
| for i in range(1, 101): | |
| if i % 15 == 0: | |
| print("fizzbuzz") |
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
yumatsuoka
/ 2 layer neural net.ipynb
Created
August 13, 2016 14:55
training 2 layer neural network. Used only numpy library on randomize list and indexing
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
yumatsuoka
/ 3 layer neural net smarter .ipynb
Last active
August 14, 2016 18:19
apply 3 layer neural network to 'XOR problem' and 'UCI Iris dataset'.
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
yumatsuoka
/ 3+layer+neural+net+smarter+.py
Created
August 14, 2016 18:52
Python script version. It's same content as the former jupyter script.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # coding: utf-8 | |
| # XOR, UCI_Iris datasetを解くNeuralNetwork | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| import six, math, random, time | |
| import pandas as pd | |
| import matplotlib.pyplot as plt |
yumatsuoka
/ [numpy]3 layer neural net.ipynb
Created
August 16, 2016 03:59
reconstruct former 3 layer neural net applied to XOR and Iris dataset with Numpy
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
yumatsuoka
/ [numpy]3 layer neural net.py
Created
August 16, 2016 04:09
python script version former numpy neural network
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # coding: utf-8 | |
| # 非線形問題を解くNeuralNetwork(Numpy) | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| import six, time | |
| import numpy as np | |
| import pandas as pd |
yumatsuoka
/ make shuffle and combination.ipynb
Last active
November 8, 2016 04:50
Make a batch size of shuffle and combination array on a dataset
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
yumatsuoka
/ pca+svm_gridsearch.ipynb
Created
December 22, 2016 15:14
PCA + SVM with GridSearch using Scikit-learn
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
OlderNewer