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完成00_Notebooks.ipynb翻译
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amusi committed Dec 13, 2018
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## Notebooks
|基础|深度学习|进阶|主题|
|-|-|-|-|
|📓 [Notebooks](https://colab.research.google.com/drive/1SDU_VDIrBASR06tIZbu-UKK8GXynRTu6)|🔥 [PyTorch](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/07_PyTorch.ipynb)|📚 [高级循环神经网络 Advanced RNNs](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/14_Advanced_RNNs.ipynb)|📸 [计算机视觉 Computer Vision](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/15_Computer_Vision.ipynb)|
|📓 [Notebooks](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/00_Notebooks.ipynb)|🔥 [PyTorch](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/07_PyTorch.ipynb)|📚 [高级循环神经网络 Advanced RNNs](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/14_Advanced_RNNs.ipynb)|📸 [计算机视觉 Computer Vision](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/15_Computer_Vision.ipynb)|
|🐍 [Python](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/01_Python.ipynb)|🎛️ [多层感知 Multilayer Perceptrons](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/08_Multilayer_Perceptron.ipynb)|🏎️ Highway and Residual Networks|⏰ 时间序列分析 Time Series Analysis|
|🔢 [NumPy](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/02_NumPy.ipynb)|🔎 [数据和模型 Data & Models](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/09_Data_and_Models.ipynb)|🔮 自编码器 Autoencoders|🏘️ Topic Modeling|
| 🐼 [Pandas](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/03_Pandas.ipynb) |📦 [面向对象的机器学习 Object-Oriented ML](https://colab.research.google.com/github/MLEveryday/practicalAI-cn/blob/master/notebooks/10_Object_Oriented_ML.ipynb)|🎭 生成对抗网络 Generative Adversarial Networks|🛒 推荐系统 Recommendation Systems|
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