2021/11-16
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|title= PyTorch Crash Course: 0 to MNIST in 1 Hour | |title= PyTorch Crash Course: 0 to MNIST in 1 Hour | ||
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|presenters=Mark Chilenski | |presenters=Mark Chilenski | ||
|location=4-237 | |location=4-237 | ||
|abstract=PyTorch is one of the leading libraries for building deep neural networks. This talk will be a self-contained “crash course,” intended to get someone with no PyTorch experience to the point that they understand the core classes and have enough vocab to Google stuff/efficiently browse the documentation in approximately one hour. Some experience with Python is assumed, but otherwise this talk has no prerequisites. | |abstract=PyTorch is one of the leading libraries for building deep neural networks. This talk will be a self-contained “crash course,” intended to get someone with no PyTorch experience to the point that they understand the core classes and have enough vocab to Google stuff/efficiently browse the documentation in approximately one hour. Some experience with Python is assumed, but otherwise this talk has no prerequisites. | ||
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Latest revision as of 05:01, 9 September 2022
[edit] PyTorch Crash Course: 0 to MNIST in 1 Hour
| Date: November 16, 2021, at 6:00 PM |
| Presenters: Mark Chilenski |
| Location: 4-237 |
| Abstract: PyTorch is one of the leading libraries for building deep neural networks. This talk will be a self-contained “crash course,” intended to get someone with no PyTorch experience to the point that they understand the core classes and have enough vocab to Google stuff/efficiently browse the documentation in approximately one hour. Some experience with Python is assumed, but otherwise this talk has no prerequisites. |
