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This is a machine learning and deep learning tutorial.（机器学习和深度学习教程）

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# Tutorial from OpenSourceAI

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**本项目中部分来自互联网，如有侵权，联系删除**

> **E-Mail:** chenquan@osai.club onexming@osai.club
>> 欢迎各位大佬来fork，[MarkDown参考](https://github.com/ChenQuan/README)
- [论文资源](paper/README.md)
- [书籍](book/README.md)
- [TensorFlow](tensorflow/README.md)
- [PyTorch](pytorch/README.md)

## TensorFlow
### 基础操作
- Hello World [hello_world.py](tensorflow/example/01basic_op/hello_world.py) 入门代码打印Hello World
- 基本运算操作 [basic_op.py](tensorflow/example/01basic_op/basic_op.py) 
- eager 动态图模式 [basic_op.py](tensorflow/example/01basic_op/eager_api.py) 动态图与python数据类型结合

### 基础算法
- 决策树 [gradient_boosted_decision_tree.py](tensorflow/example/02basic_model/gradient_boosted_decision_tree.py)
- K-means聚类 [kmeans.py](tensorflow/example/02basic_model/kmeans.py)
- 线性回归 [linear_regression.py](tensorflow/example/02basic_model/linear_regression.py)
- 逻辑回归 [logistic_regression.py](tensorflow/example/02basic_model/logistic_regression.py)
- 最近邻算法 [nearest_neighbor.py](tensorflow/example/02basic_model/nearest_neighbor.py)
- 随机森林 [random_forest.py](tensorflow/example/02basic_model/random_forest.py)
- 词向量 [word2vec.py](tensorflow/example/02basic_model/word2vec.py)

### 神经网络
- 自解码网络 [autoencoder.py](tensorflow/example/03NN/autoencoder.py)
- 自解码网络-keras [autoencoder_keras.py](tensorflow/example/03NN/autoencoder_keras.py)
- BP神经网络 [neural_network.py](tensorflow/example/03NN/neural_network_raw.py)
- BP神经网络-keras [neural_network_keras.py](tensorflow/example/03NN/neural_network_keras.py)

---

## PyTorch
### 基础操作
- 基础运算操作 [basic_op.py](pytorch/example/01basic_op/basic_op.py)

## OpenSourceAI

欢迎有兴趣的朋友加入我们，一个喜欢开源、热爱AI的团队。

OpenSourceAI Org：
https://github.com/opensourceai

QQ Group:  [584399282](https://shang.qq.com/wpa/qunwpa?idkey=46b645557bb6e6f118e0f786daacf61bd353b68a7b1ccba71b4e85b6d1b75b31)

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