├── README.md ├── chapter_attention-mechanisms-and-transformers ├── attention-pooling.ipynb ├── attention-scoring-functions.ipynb ├── bahdanau-attention.ipynb ├── multihead-attention.ipynb ├── rise.css ├── self-attention-and-positional-encoding.ipynb └── transformer.ipynb ├── chapter_builders-guide ├── custom-layer.ipynb ├── init-param.ipynb ├── model-construction.ipynb ├── parameters.ipynb ├── read-write.ipynb ├── rise.css └── use-gpu.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_linear-classification ├── classification.ipynb ├── image-classification-dataset.ipynb ├── rise.css ├── softmax-regression-concise.ipynb └── softmax-regression-scratch.ipynb ├── chapter_linear-regression ├── linear-regression-concise.ipynb ├── linear-regression-scratch.ipynb ├── linear-regression.ipynb ├── rise.css ├── synthetic-regression-data.ipynb └── weight-decay.ipynb ├── chapter_multilayer-perceptrons ├── dropout.ipynb ├── kaggle-house-price.ipynb ├── mlp-implementation.ipynb ├── mlp.ipynb ├── numerical-stability-and-init.ipynb └── rise.css ├── chapter_natural-language-processing-applications ├── natural-language-inference-and-dataset.ipynb ├── natural-language-inference-bert.ipynb └── rise.css ├── chapter_natural-language-processing-pretraining ├── bert-dataset.ipynb ├── bert-pretraining.ipynb ├── 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 ├── deep-rnn.ipynb ├── encoder-decoder.ipynb ├── gru.ipynb ├── lstm.ipynb ├── machine-translation-and-dataset.ipynb ├── rise.css └── seq2seq.ipynb └── chapter_recurrent-neural-networks ├── language-model.ipynb ├── rise.css ├── rnn-concise.ipynb ├── rnn-scratch.ipynb ├── sequence.ipynb └── text-sequence.ipynb /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/d2l-ai/d2l-pytorch-slides/HEAD/README.md -------------------------------------------------------------------------------- /chapter_attention-mechanisms-and-transformers/attention-pooling.ipynb: 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