# 动手学深度学习
[](http://ci.diveintodeeplearning.org/job/zh/job/master/)
[[本书网址](https://zh.diveintodeeplearning.org/)]
## 英文版 *Dive into Deep Learning*
加州大学伯克利分校 2019 年春学期 *Introduction to Deep Learning* 课程教材。
开源地址：[https://github.com/diveintodeeplearning/d2l-en](https://github.com/diveintodeeplearning/d2l-en)
## 贡献
感谢[社区贡献者们](https://github.com/diveintodeeplearning/d2l-zh/graphs/contributors)为每一位读者改进这本开源书。
[[如何贡献](https://zh.diveintodeeplearning.org/chapter_appendix/how-to-contribute.html)] [[致谢](https://zh.diveintodeeplearning.org/chapter_introduction/preface.html#%E8%87%B4%E8%B0%A2)] [[讨论或报告问题](https://discuss.gluon.ai)] [[其他](INFO.md)]
d2l-zh-1.0.zip_D2L 文件_d2lzh安装_deeplearning_mxnet_pig17v
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d2l-zh-1.0.zip_D2L 文件_d2lzh安装_deeplearning_mxnet_pig17v （316个子文件） 
kaggle_house_pred_train.csv 450KB kaggle_house_pred_test.csv 441KB airfoil_self_noise.dat 59KB image-augmentation.ipynb 1.15MB ssd.ipynb 326KB anchor.ipynb 317KB object-detection-dataset.ipynb 308KB momentum.ipynb 271KB neural-style.ipynb 244KB semantic-segmentation-and-dataset.ipynb 238KB multiscale-object-detection.ipynb 211KB weight-decay.ipynb 201KB fine-tuning.ipynb 199KB mlp.ipynb 188KB fcn.ipynb 183KB underfit-overfit.ipynb 145KB linear-regression-scratch.ipynb 145KB gd-sgd.ipynb 144KB bounding-box.ipynb 126KB adagrad.ipynb 124KB optimization-intro.ipynb 117KB minibatch-sgd.ipynb 113KB kaggle-house-price.ipynb 92KB rmsprop.ipynb 89KB softmax-regression-scratch.ipynb 81KB fashion-mnist.ipynb 71KB adam.ipynb 54KB adadelta.ipynb 53KB word2vec-gluon.ipynb 30KB deep-learning-intro.ipynb 29KB machine-translation.ipynb 27KB kaggle-gluon-cifar10.ipynb 24KB ndarray.ipynb 23KB rnn-scratch.ipynb 22KB kaggle-gluon-dog.ipynb 20KB batch-norm.ipynb 18KB multiple-gpus.ipynb 18KB hybridize.ipynb 18KB gru.ipynb 17KB sentiment-analysis-rnn.ipynb 17KB async-computation.ipynb 17KB parameters.ipynb 17KB lstm.ipynb 16KB sentiment-analysis-cnn.ipynb 16KB linear-regression.ipynb 16KB alexnet.ipynb 16KB math.ipynb 16KB preface.ipynb 14KB conv-layer.ipynb 14KB use-gpu.ipynb 13KB googlenet.ipynb 13KB rnn-gluon.ipynb 13KB resnet.ipynb 13KB aws.ipynb 13KB word2vec.ipynb 12KB rcnn.ipynb 12KB lenet.ipynb 12KB similarity-analogy.ipynb 12KB softmax-regression.ipynb 12KB model-construction.ipynb 12KB lang-model-dataset.ipynb 12KB dropout.ipynb 11KB multiple-gpus-gluon.ipynb 11KB linear-regression-gluon.ipynb 11KB pooling.ipynb 11KB channels.ipynb 11KB rnn.ipynb 10KB backprop.ipynb 10KB densenet.ipynb 10KB glove.ipynb 10KB bptt.ipynb 10KB install.ipynb 10KB attention.ipynb 9KB beam-search.ipynb 8KB vgg.ipynb 8KB padding-and-strides.ipynb 8KB nin.ipynb 8KB custom-layer.ipynb 8KB approx-training.ipynb 8KB seq2seq.ipynb 7KB autograd.ipynb 7KB auto-parallelism.ipynb 7KB jupyter.ipynb 7KB gluonbook.ipynb 7KB deferred-init.ipynb 6KB how-to-use.ipynb 6KB read-write.ipynb 6KB mlp-scratch.ipynb 6KB lang-model.ipynb 6KB lookup-api.ipynb 6KB how-to-contribute.ipynb 5KB numerical-stability-and-init.ipynb 5KB softmax-regression-gluon.ipynb 5KB buy-gpu.ipynb 5KB fasttext.ipynb 4KB bi-rnn.ipynb 4KB deep-rnn.ipynb 3KB mlp-gluon.ipynb 3KB notation.ipynb 2KB
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