https://github.com/mindspore-courses/mindspore-tutorial
MindSpore Tutorial for Deep Learning Researchers
https://github.com/mindspore-courses/mindspore-tutorial
machine-learning neural-network python tutorial
Last synced: 9 months ago
JSON representation
MindSpore Tutorial for Deep Learning Researchers
- Host: GitHub
- URL: https://github.com/mindspore-courses/mindspore-tutorial
- Owner: mindspore-courses
- Created: 2023-05-30T14:43:02.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-07-20T05:06:56.000Z (over 2 years ago)
- Last Synced: 2025-04-18T17:19:13.410Z (10 months ago)
- Topics: machine-learning, neural-network, python, tutorial
- Language: Python
- Homepage:
- Size: 9.49 MB
- Stars: 7
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Table of Contents
#### 1. Basics
* [MindSpore Basics](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/01-basics/mindspore_basics/main.py)
* [Linear Regression](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/01-basics/linear_regression/main.py#L22-L23)
* [Logistic Regression](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/01-basics/logistic_regression/main.py#L33-L34)
* [Feedforward Neural Network](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/01-basics/feedforward_neural_network/main.py#L37-L49)
#### 2. Intermediate
* [Convolutional Neural Network](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/02-intermediate/convolutional_neural_network/main.py#L35-L56)
* [Deep Residual Network](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/02-intermediate/deep_residual_network/main.py#L76-L113)
* [Recurrent Neural Network](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/02-intermediate/recurrent_neural_network/main.py#L39-L58)
* [Bidirectional Recurrent Neural Network](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py#L39-L58)
* [Language Model (RNN-LM)](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/02-intermediate/language_model/main.py#L30-L50)
#### 3. Advanced
* [Generative Adversarial Networks](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/03-advanced/generative_adversarial_network/main.py#L41-L57)
* [Variational Auto-Encoder](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/03-advanced/variational_autoencoder/main.py#L38-L65)
* [Neural Style Transfer](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/03-advanced/neural_style_transfer)
* [Image Captioning (CNN-RNN)](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/03-advanced/image_captioning)
#### 4. Utilities
* [MindInsight in MindSpore](https://github.com/rev0cat/MindSpore-Tutorial/blob/master/tutorials/04-utils/mindinsight)
## Getting Started
```bash
$ git clone https://github.com/mindspore-courses/MindSpore-Tutorial.git
$ cd MindSpore-Tutorial/tutorials/PATH_TO_PROJECT
$ python main.py
```
## Dependencies
* [Python 3.6+](https://www.continuum.io/downloads)
* [MindSpore 2.0.0+](http://mindspore.cn/)