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README.md

TensorFlow 2 / 2.0 官方文档中文版

TensorFlow 2.0

相关链接

目录(持续更新)

基础 - 机器学习基础 ML basics

  1. 图像分类 Classify images
  2. 文本分类 Classify text
  3. 结构化数据分类 Classify structured data
  4. 回归 Regression
  5. 过拟合与欠拟合 Overfitting and underfitting
  6. 保存和恢复模型 Save and restore models

基础 - 图像分类

  1. 卷积神经网络 Convolutional Neural Networks
  2. 使用TFHub进行迁移学习 TensorFlow Hub with Keras
  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

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
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