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@@ -3,9 +3,10 @@
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基于TensorFlow 2.0正式版!!!
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理论与实战结合,非常适合入门学习!!!
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-[百度网盘 提取码:juqs](https://pan.baidu.com/s/1GgQjhDqSgSfjxqBMsE3RDQ)
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-本仓库包含pdf电子书、配套源代码、配套课件等。部分代码替换为Ipython Notebook形式,感谢这位[童鞋](https://github.com/Relph1119/deeplearning-with-tensorflow-notes)的整理。
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+本仓库包含pdf电子书、配套源代码、配套课件等。部分代码已替换为Ipython Notebook形式,感谢这位[童鞋](https://github.com/Relph1119/deeplearning-with-tensorflow-notes)的整理。
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+
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+[百度网盘下载](https://pan.baidu.com/s/1GgQjhDqSgSfjxqBMsE3RDQ) 提取码:juqs
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- **本书被“机器之心”,“量子位”等权威媒体报导!**
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@@ -21,15 +22,15 @@
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- 提交错误或者修改等反馈意见,请在Github [Issues](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book/issues)页面提交
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-- 更多TensorFlow 2.0 实战案例在[这里](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)
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-
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-
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- 联系邮箱(一般问题建议Github issues交流):liangqu.long AT gmail.com
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- 高校老师索取PPT原素材等教案,请邮箱联系,并详注院校课程等信息,我们准备好了会第一时间邮件回复
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- 使用本书本的任何内容时(**仅限非商业用途**),请注明作者和Github链接
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+
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+
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+
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# “龙书”生态系统
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- [介绍短片](https://www.bilibili.com/video/av75331861)
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@@ -40,6 +41,8 @@
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- [PyTorch深度学习开源书](https://github.com/dragen1860/Deep-Learning-with-PyTorch-book)
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+- 更多TensorFlow 2实战案例在[这里](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)
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+
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# 简要目录
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