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`79`	`79`	`* Part 8: Use transfer learning to train a state-of-the-art image classifier for dogs and cats`
`80`	`80`	`</pre>`
`81`	`81`	`</details>`
`82`		`-* [PyTorch1.0-Zero-To-All](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch-Zero-To-All-%5BPyTorch1.0%5D):Slides-newest from Google Drive`
	`82`	`+* [PyTorch-Zero-To-All](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/books-and-slides/PyTorch-Zero-To-All%20Slides-newest%20from%20Google%20Drive):Slides-newest from Google Drive`
`83`	`83`	`<details>`
`84`	`84`	`<summary>展开查看</summary>`
`85`	`85`	`<pre>`
`@@ -100,7 +100,7 @@`
`100`	`100`	`* Lecture 15_ NSML, Smartest ML Platform.pptx`
`101`	`101`	`</pre>`
`102`	`102`	`</details>`
`103`		`-* [Deep Learning Course Slides and Handout - fleuret.org](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Deep-Learning-Course-Slides-and-Handout)`
	`103`	`+* [Deep Learning Course Slides and Handout - fleuret.org](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/books-and-slides/Deep-Learning-Course-Slides-and-Handout)`
`104`	`104`	`<details>`
`105`	`105`	`<summary>展开查看</summary>`
`106`	`106`	`<pre>`

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