├── README.md ├── chapter_attention-mechanisms ├── attention-scoring-functions.ipynb ├── bahdanau-attention.ipynb ├── multihead-attention.ipynb ├── nadaraya-waston.ipynb ├── rise.css ├── self-attention-and-positional-encoding.ipynb └── transformer.ipynb ├── chapter_computational-performance ├── multiple-gpus-concise.ipynb ├── multiple-gpus.ipynb └── rise.css ├── chapter_computer-vision ├── anchor.ipynb ├── bounding-box.ipynb ├── fcn.ipynb ├── fine-tuning.ipynb ├── image-augmentation.ipynb ├── kaggle-cifar10.ipynb ├── kaggle-dog.ipynb ├── multiscale-object-detection.ipynb ├── neural-style.ipynb ├── object-detection-dataset.ipynb ├── rise.css ├── semantic-segmentation-and-dataset.ipynb ├── ssd.ipynb └── transposed-conv.ipynb ├── chapter_convolutional-modern ├── alexnet.ipynb ├── batch-norm.ipynb ├── densenet.ipynb ├── googlenet.ipynb ├── nin.ipynb ├── resnet.ipynb ├── rise.css └── vgg.ipynb ├── chapter_convolutional-neural-networks ├── channels.ipynb ├── conv-layer.ipynb ├── lenet.ipynb ├── padding-and-strides.ipynb ├── pooling.ipynb └── rise.css ├── chapter_deep-learning-computation ├── custom-layer.ipynb ├── model-construction.ipynb ├── parameters.ipynb ├── read-write.ipynb ├── rise.css └── use-gpu.ipynb ├── chapter_linear-networks ├── image-classification-dataset.ipynb ├── linear-regression-concise.ipynb ├── linear-regression-scratch.ipynb ├── linear-regression.ipynb ├── rise.css ├── softmax-regression-concise.ipynb └── softmax-regression-scratch.ipynb ├── chapter_multilayer-perceptrons ├── dropout.ipynb ├── kaggle-house-price.ipynb ├── mlp-concise.ipynb ├── mlp-scratch.ipynb ├── mlp.ipynb ├── numerical-stability-and-init.ipynb ├── rise.css ├── underfit-overfit.ipynb └── weight-decay.ipynb ├── chapter_natural-language-processing-applications ├── natural-language-inference-and-dataset.ipynb ├── natural-language-inference-bert.ipynb └── rise.css ├── chapter_preliminaries ├── autograd.ipynb ├── calculus.ipynb ├── linear-algebra.ipynb ├── lookup-api.ipynb ├── ndarray.ipynb ├── pandas.ipynb └── rise.css ├── chapter_recurrent-modern ├── bi-rnn.ipynb ├── deep-rnn.ipynb ├── encoder-decoder.ipynb ├── gru.ipynb ├── lstm.ipynb ├── machine-translation-and-dataset.ipynb ├── rise.css └── seq2seq.ipynb └── chapter_recurrent-neural-networks ├── language-models-and-dataset.ipynb ├── rise.css ├── rnn-concise.ipynb ├── rnn-scratch.ipynb ├── sequence.ipynb └── text-preprocessing.ipynb /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/d2l-ai/d2l-zh-pytorch-slides/HEAD/README.md -------------------------------------------------------------------------------- /chapter_attention-mechanisms/attention-scoring-functions.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/d2l-ai/d2l-zh-pytorch-slides/HEAD/chapter_attention-mechanisms/attention-scoring-functions.ipynb 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