{"provider_name":"Hatena Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2016%2F06%2F26%2F000929\" title=\"\u3074\u3063\u304f\u308b\u30fc - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2016-06-26 00:09:29","height":"190","width":"100%","provider_url":"https://hatena.blog","type":"rich","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","url":"https://randommemory.hatenablog.com/entry/2016/06/26/000929","version":"1.0","blog_url":"https://randommemory.hatenablog.com/","author_url":"https://blog.hatena.ne.jp/derwind/","title":"\u3074\u3063\u304f\u308b\u30fc","categories":["Python","machine_learning","MOOC"],"description":"ud730\u30cd\u30bf\u3002 pickle_file = 'notMNIST.pickle' try: f = open(pickle_file, 'wb') save = { 'train_dataset': train_dataset, 'train_labels': train_labels, 'valid_dataset': valid_dataset, 'valid_labels': valid_labels, 'test_dataset': test_dataset, 'test_labels': test_labels, } pickle.dump(save, f, pickle.HIGHE\u2026","author_name":"derwind","image_url":null}