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小白的d2l(Dive into Deep Learining)学习笔记

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1_preliminaries.ipynb
1_preliminaries.ipynb
 
 
2_image_classification_dataset.ipynb
2_image_classification_dataset.ipynb
 
 
2_linear_regression_concise.ipynb
2_linear_regression_concise.ipynb
 
 
2_linear_regression_scratch.ipynb
2_linear_regression_scratch.ipynb
 
 
2_softmax_regression_concise.ipynb
2_softmax_regression_concise.ipynb
 
 
2_softmax_regression_scratch.ipynb
2_softmax_regression_scratch.ipynb
 
 
3_dropout.ipynb
3_dropout.ipynb
 
 
3_kaggle_house_price.ipynb
3_kaggle_house_price.ipynb
 
 
3_mlp.ipynb
3_mlp.ipynb
 
 
3_mlp_concise.ipynb
3_mlp_concise.ipynb
 
 
3_mlp_scratch.ipynb
3_mlp_scratch.ipynb
 
 
3_numerical_stability_and_init.ipynb
3_numerical_stability_and_init.ipynb
 
 
3_underfit_overfit.ipynb
3_underfit_overfit.ipynb
 
 
3_weight_decay.ipynb
3_weight_decay.ipynb
 
 
4_custom_layer.ipynb
4_custom_layer.ipynb
 
 
4_model_construction.ipynb
4_model_construction.ipynb
 
 
4_parameters.ipynb
4_parameters.ipynb
 
 
4_read_write.ipynb
4_read_write.ipynb
 
 
5_channels.ipynb
5_channels.ipynb
 
 
5_conv_layer.ipynb
5_conv_layer.ipynb
 
 
5_lenet.ipynb
5_lenet.ipynb
 
 
5_padding_and_strides.ipynb
5_padding_and_strides.ipynb
 
 
5_pooling.ipynb
5_pooling.ipynb
 
 
6_GoogleLeNet.ipynb
6_GoogleLeNet.ipynb
 
 
6_ResNet.ipynb
6_ResNet.ipynb
 
 
6_alexnet.ipynb
6_alexnet.ipynb
 
 
6_batch_norm.ipynb
6_batch_norm.ipynb
 
 
6_densenet.ipynb
6_densenet.ipynb
 
 
6_nin.ipynb
6_nin.ipynb
 
 
6_vgg.ipynb
6_vgg.ipynb
 
 
7_language_models_and_dataset.ipynb
7_language_models_and_dataset.ipynb
 
 
7_rnn.ipynb
7_rnn.ipynb
 
 
7_rnn_concise.ipynb
7_rnn_concise.ipynb
 
 
7_rnn_scratch.ipynb
7_rnn_scratch.ipynb
 
 
7_sequence.ipynb
7_sequence.ipynb
 
 
7_text_preprocessing.ipynb
7_text_preprocessing.ipynb
 
 
README.md
README.md
 
 

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d2l-zh_comment

小白的d2l(Dive into Deep Learining)学习笔记

此仓库是在阅读d2l-zh(https://github.com/d2l-ai/d2l-zh) 时记录的一些思考
因此大部分都是d2l-zh上的代码，部分有注释，请配合d2l-zh一起使用 此仓库需要和d2l-zh一致的环境

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小白的d2l(Dive into Deep Learining)学习笔记

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