文件名称:deep-learning-with-python-notebooks-master
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- 上传时间：2017-12-21
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文件大小：6.86mb
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Deep Learning With Python 原书配套代码。
包括所有常见的深度学习模型
注释丰富，代码规范
使用流行的keras库实现，jupyter notebook格式(Deep Learning With Python Original book matching code.
Including all the common deep learning models
Rich annotation, code specification
Using the popular keras library implementation, jupyter notebook format)
包括所有常见的深度学习模型
注释丰富，代码规范
使用流行的keras库实现，jupyter notebook格式(Deep Learning With Python Original book matching code.
Including all the common deep learning models
Rich annotation, code specification
Using the popular keras library implementation, jupyter notebook format)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| deep-learning-with-python-notebooks-master\.ipynb_checkpoints\6.2-understanding-recurrent-neural-networks-checkpoint.ipynb | 84894 | 2017-12-05 |
| deep-learning-with-python-notebooks-master\.ipynb_checkpoints\6.3-advanced-usage-of-recurrent-neural-networks-checkpoint.ipynb | 204727 | 2017-12-05 |
| deep-learning-with-python-notebooks-master\2.1-a-first-look-at-a-neural-network.ipynb | 13940 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\3.5-classifying-movie-reviews.ipynb | 69517 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\3.6-classifying-newswires.ipynb | 63700 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\3.7-predicting-house-prices.ipynb | 70240 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\4.4-overfitting-and-underfitting.ipynb | 106102 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\5.1-introduction-to-convnets.ipynb | 11100 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\5.2-using-convnets-with-small-datasets.ipynb | 431140 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\5.3-using-a-pretrained-convnet.ipynb | 233147 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\5.4-visualizing-what-convnets-learn.ipynb | 7004823 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\6.1-one-hot-encoding-of-words-or-characters.ipynb | 8792 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\6.1-using-word-embeddings.ipynb | 94317 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\6.2-understanding-recurrent-neural-networks.ipynb | 84894 | 2017-12-05 |
| deep-learning-with-python-notebooks-master\6.3-advanced-usage-of-recurrent-neural-networks.ipynb | 204727 | 2017-12-05 |
| deep-learning-with-python-notebooks-master\6.4-sequence-processing-with-convnets.ipynb | 94418 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\8.1-text-generation-with-lstm.ipynb | 160597 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\8.2-deep-dream.ipynb | 201125 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\8.3-neural-style-transfer.ipynb | 415051 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\8.4-generating-images-with-vaes.ipynb | 283828 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\8.5-introduction-to-gans.ipynb | 147649 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\LICENSE | 1074 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\README.md | 3998 | 2017-11-20 |
| deep-learning-with-python-notebooks-master\.ipynb_checkpoints | ||
| deep-learning-with-python-notebooks-master |