# ac2019-dl-gpu

**Repository Path**: Hoyt_Hu/ac2019-dl-gpu

## Basic Information

- **Project Name**: ac2019-dl-gpu
- **Description**: AnacondaCON 2019 GPU Deep Learning Tutorial
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-07-23
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ac2019-dl-gpu
Notebooks from AnacondaCON 2019 Deep Learning with GPUs tutorial

To view the figures in these notebooks online, use these nbviewer links:
* [1 - Getting Started And Data Prep](https://nbviewer.jupyter.org/github/ContinuumIO/ac2019-dl-gpu/blob/master/1%20-%20Getting%20Started%20and%20Data%20Prep.ipynb)
* [2 - Building and Training Models](https://nbviewer.jupyter.org/github/ContinuumIO/ac2019-dl-gpu/blob/master/2%20-%20Building%20and%20Training%20Models.ipynb)
* [3 - Evaluating Models](https://nbviewer.jupyter.org/github/ContinuumIO/ac2019-dl-gpu/blob/master/3%20-%20Evaluating%20Models.ipynb)
* [4a - Starting From Predefined Models](https://nbviewer.jupyter.org/github/ContinuumIO/ac2019-dl-gpu/blob/master/4a%20-%20Starting%20From%20Predefined%20Models.ipynb)
* [4b - Saving a Model](https://nbviewer.jupyter.org/github/ContinuumIO/ac2019-dl-gpu/blob/master/4b%20-%20Saving%20a%20Model.ipynb)
* [4c - Loading and Benchmarking](https://nbviewer.jupyter.org/github/ContinuumIO/ac2019-dl-gpu/blob/master/4c%20-%20Loading%20and%20Benchmarking.ipynb)