すごいHaskellたのしく学ぼう!をScalaでやってみたメモ
目次
| import torch | |
| from torchvision import datasets | |
| class ImageFolderWithPaths(datasets.ImageFolder): | |
| """Custom dataset that includes image file paths. Extends | |
| torchvision.datasets.ImageFolder | |
| """ | |
| # override the __getitem__ method. this is the method that dataloader calls | |
| def __getitem__(self, index): |
| from keras.callbacks import Callback | |
| import keras.backend as K | |
| import numpy as np | |
| class SGDRScheduler(Callback): | |
| '''Cosine annealing learning rate scheduler with periodic restarts. | |
| # Usage | |
| ```python | |
| schedule = SGDRScheduler(min_lr=1e-5, |
| import numpy as np | |
| from keras import backend as K | |
| from keras.models import Sequential | |
| from keras.layers.core import Dense, Dropout, Activation, Flatten | |
| from keras.layers.convolutional import Convolution2D, MaxPooling2D | |
| from keras.preprocessing.image import ImageDataGenerator | |
| from sklearn.metrics import classification_report, confusion_matrix | |
| #Start | |
| train_data_path = 'F://data//Train' |
| '''This script goes along the blog post | |
| "Building powerful image classification models using very little data" | |
| from blog.keras.io. | |
| It uses data that can be downloaded at: | |
| https://www.kaggle.com/c/dogs-vs-cats/data | |
| In our setup, we: | |
| - created a data/ folder | |
| - created train/ and validation/ subfolders inside data/ | |
| - created cats/ and dogs/ subfolders inside train/ and validation/ | |
| - put the cat pictures index 0-999 in data/train/cats |
| '''This script goes along the blog post | |
| "Building powerful image classification models using very little data" | |
| from blog.keras.io. | |
| It uses data that can be downloaded at: | |
| https://www.kaggle.com/c/dogs-vs-cats/data | |
| In our setup, we: | |
| - created a data/ folder | |
| - created train/ and validation/ subfolders inside data/ | |
| - created cats/ and dogs/ subfolders inside train/ and validation/ | |
| - put the cat pictures index 0-999 in data/train/cats |
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Total: USD $70
ちょっと値上がってましたね。。
31 Aug 2011
私は人々にGitを教えるためにあちこちを飛び回っているが、最近のほぼすべてのクラスやワークショップでgit-flowについてどう思うかを尋ねられた。私はいつも、git-flowは素晴らしいと思うと答えている。何百万ものワークフローを持ったシステム(Git)を提供し、ドキュメントもあるし、よくテストされている。フレキシブルなワークフローは、実に容易なやり方で多くの開発者の役に立つ。標準的なものになりつつあり、開発者はプロジェクトや企業の間を移動しつつこの標準的なワークフローに馴染むことができる。