[1] PyTorch,
https://pytorch.org/
[2] S.Raschka, Y.Liu and V.Mirjalili, (クイープ訳),
Python機械学習プログラミング PyTorch&scikit-learn編, インプレス, 2022.
[3] 赤石雅典, PyTorch&深層学習プログラム, 日経BP, 2021.
[4] Torchvision Datasets,
https://pytorch.org/vision/stable/datasets.html
[5] PyTorch, Models and pre-trained weights,
https://pytorch.org/vision/stable/models.html
[6] Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun,
"Deep Residual Learning for Image Recognition, "
https://arxiv.org/pdf/1512.03385, 2015.
[7] PyTorch ResNet,
https://pytorch.org/hub/pytorch_vision_resnet/
[8] ResNet (github),
https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py
[9] ImageNet,
https://www.image-net.org/
[10] List of Nvidia graphics processing units (wikipedia),
https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units
[11] Automatic Mixed Precision examples,
https://pytorch.org/docs/stable/notes/amp_examples.html
[12] 「Tensorコアで深層学習モデルの学習を高速化してみた」,
https://qiita.com/MotonobuHommi/items/f12a500d6c475ce59790
[13] MNIST,
https://yann.lecun.com/exdb/mnist/
[14] ITmedia,
https://atmarkit.itmedia.co.jp/ait/articles/2001/22/news012.html
[15] QMNIST,
https://github.com/facebookresearch/qmnist
[16] Gregory Cohen, Saeed Afshar, Jonathan Tapson, and Andre van Schaik,
"EMNIST: an extension of MNIST to handwritten letters,"
https://arxiv.org/pdf/1702.05373v1, 2017.
[17] FashionMNIST,
https://github.com/zalandoresearch/fashion-mnist
[18] KMNISTデータセット,
http://codh.rois.ac.jp/kmnist/
[19] Kuzushiji-MNIST,
https://github.com/rois-codh/kmnist
[20] Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto and David Ha,
"Deep Learning for Classical Japanese Literature,"
https://arxiv.org/pdf/1812.01718v1, 2018.
[21] Michał BUKOWSKI, Izabella ANTONIUK and Jarosław KUREK,
"Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classification,"
https://journals.pan.pl/dlibra/publication/147338/edition/128840/content, 2023.
[22] Unicode変体仮名一覧,
http://codh.rois.ac.jp/char-shape/hentaigana/
[23] CIFAR-10 dataset, CIFAR-100 dataset,
https://www.cs.toronto.edu/~kriz/cifar.html
[24] 東京大学史料編纂所, くずし字データセット,
https://lab.hi.u-tokyo.ac.jp/datasets/kuzushiji
[25] Visual Geometry Group (VGG),
https://www.robots.ox.ac.uk/~vgg/
[26] Flowers102,
https://www.robots.ox.ac.uk/~vgg/data/flowers/102/
[27] Flowers102 Category,
https://www.robots.ox.ac.uk/~vgg/data/flowers/102/categories.html