https://github.com/geektutu/tensorflow2-docs-zh
TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版
https://github.com/geektutu/tensorflow2-docs-zh
document rnn tensorflow2 tf2
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TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版
- Host: GitHub
- URL: https://github.com/geektutu/tensorflow2-docs-zh
- Owner: geektutu
- Created: 2019-07-08T17:37:05.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-01-07T17:31:45.000Z (almost 5 years ago)
- Last Synced: 2025-03-24T08:23:27.740Z (7 months ago)
- Topics: document, rnn, tensorflow2, tf2
- Language: Jupyter Notebook
- Homepage: https://geektutu.com/post/tf2doc.html
- Size: 874 KB
- Stars: 227
- Watchers: 15
- Forks: 101
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# TensorFlow 2 / 2.0 官方文档中文版
## 相关链接
- [一篇文章入门 Python](https://geektutu.com/post/quick-python.html)
- [机器学习笔试面试题](https://geektutu.com/post/qa-ml.html)，[Github](https://github.com/geektutu/interview-questions)
- [TensorFlow 2.0 中文文档](https://geektutu.com/post/tf2doc.html)，[Github](https://github.com/geektutu/tensorflow2-docs-zh)
- [TensorFlow 2.0 图像识别&强化学习实战](https://geektutu.com/post/tensorflow2-mnist-cnn.html)，[Github](https://github.com/geektutu/tensorflow-tutorial-samples)
## 目录(持续更新)
### 基础 - 机器学习基础 ML basics
1. [图像分类 Classify images](https://geektutu.com/post/tf2doc-ml-basic-image.html)
2. [文本分类 Classify text](https://geektutu.com/post/tf2doc-ml-basic-text.html)
3. [结构化数据分类 Classify structured data](https://geektutu.com/post/tf2doc-ml-basic-structured-data.html)
4. [回归 Regression](https://geektutu.com/post/tf2doc-ml-basic-regression.html)
5. [过拟合与欠拟合 Overfitting and underfitting](https://geektutu.com/post/tf2doc-ml-basic-overfit.html)
6. [保存和恢复模型 Save and restore models](https://geektutu.com/post/tf2doc-ml-basic-save-model.html)
### 基础 - 图像分类
1. [卷积神经网络 Convolutional Neural Networks](https://geektutu.com/post/tf2doc-cnn-cifar10.html)
2. [使用TFHub进行迁移学习 TensorFlow Hub with Keras](https://geektutu.com/post/tf2doc-tfhub-image-tl.html)
3. 使用预训练CNN进行迁移学习 Transfer Learning Using Pretrained ConvNets
### 基础 - 文本分类
1. [使用RNN对文本分类进行分类 Text classification with an RNN](https://geektutu.com/post/tf2doc-rnn-lstm-text.html)
### 进阶 - 自定义
1. 张量和操作 Tensors and operations
2. 自定义层 Custom layers
3. 自动微分 Automatic differentiation
4. 自定义训练：攻略 Custom training：walkthrough
5. 动态图机制 TF function and AutoGraph