# tensorflow2-zh **Repository Path**: plusyou13/tensorflow2-zh ## Basic Information - **Project Name**: tensorflow2-zh - **Description**: TensorFlow2.0 官方教程翻译,基本概念讲解、实战项目、TensorFlow2.0编程技巧。 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-04-17 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README --- title: tensorflow2官方教程目录导航 categories: tensorflow2官方教程 tags: tensorflow2.0教程 top: 1900 abbrlink: tensorflow/tensorflow2-zh-readme --- > 最全TensorFlow2.0学习路线 [www.mashangxue123.com](https://www.mashangxue123.com) # tensorflow2.0 官方教程目录导航 #### Get started with TensorFlow 2.0 #### Effective TensorFlow 2.0(高效的tensorflow 2.0) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-quickstart-beginner.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-quickstart-beginner.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/quickstart/beginner](https://tensorflow.google.cn/beta/tutorials/quickstart/beginner) > 翻译建议:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/quickstart/beginner.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/quickstart/beginner.md) #### Migrate from TF 1 to TF 2 #### Convert with the upgrade script #### Get started for beginners (初学者入门 TensorFlow 2.0) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-quickstart-beginner.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-quickstart-beginner.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/quickstart/beginner](https://tensorflow.google.cn/beta/tutorials/quickstart/beginner) > 翻译建议:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/quickstart/beginner.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/quickstart/beginner.md) #### Get started for experts (专家入门TensorFlow 2.0) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-quickstart-advanced.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-quickstart-advanced.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/quickstart/advanced](https://tensorflow.google.cn/beta/tutorials/quickstart/advanced) > 翻译建议:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/quickstart/beginner.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/quickstart/advanced.md) ## Beginner tutorials ### ML basics #### Overview #### Classify images (训练您的第一个神经网络:基本分类) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-basic_classification.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-basic_classification.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/keras/basic_classification](https://tensorflow.google.cn/beta/tutorials/keras/basic_classification) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basic_classification.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basic_classification.md) #### Classify text 使用Keras和TensorFlow Hub对电影评论进行文本分类) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-basic_text_classification_with_tfhub.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-basic_text_classification_with_tfhub.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/keras/basic_text_classification_with_tfhub](https://tensorflow.google.cn/beta/tutorials/keras/basic_text_classification_with_tfhub) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basic_text_classification_with_tfhub.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basic_text_classification_with_tfhub.md) #### Classify structured data (结构化数据分类实战:心脏病预测) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-feature_columns.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-feature_columns.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/keras/feature_columns](https://tensorflow.google.cn/beta/tutorials/keras/feature_columns) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/feature_columns.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/feature_columns.md) #### Regression (回归项目实战:预测燃油效率 ) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-basic_regression.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-basic_regression.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/keras/basic_regression](https://tensorflow.google.cn/beta/tutorials/keras/basic_regression) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basic_regression.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basic_regression.md) #### Overfitting and underfitting (探索过拟合和欠拟合) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-overfit_and_underfit.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-overfit_and_underfit.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/keras/overfit_and_underfit](https://tensorflow.google.cn/beta/tutorials/keras/overfit_and_underfit) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/overfit_and_underfit.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/overfit_and_underfit.md) #### Save and restore models (tensorflow2保存和加载模型 ) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-save_and_restore_models.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-save_and_restore_models.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/keras/save_and_restore_models](https://tensorflow.google.cn/beta/tutorials/keras/save_and_restore_models) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/save_and_restore_models.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/save_and_restore_models.md) ### Images #### Convolutional Neural Networks (使用TensorFlow2.0实现卷积神经网络CNN对MNIST数字分类) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-images-intro_to_cnns.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-images-intro_to_cnns.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/images/save_and_restore_models](https://tensorflow.google.cn/beta/tutorials/images/intro_to_cnns) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/images/intro_to_cnns.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/images/intro_to_cnns.md) #### Transfer learning with TFHub (基于Keras使用TensorFlow Hub实现迁移学习) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-images-hub_with_keras.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-images-hub_with_keras.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/images/hub_with_keras](https://tensorflow.google.cn/beta/tutorials/images/hub_with_keras) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/images/hub_with_keras.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/images/hub_with_keras.md) #### Transfer learning with pretrained CNNs (使用预训练的卷积神经网络进行迁移学习) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-images-transfer_learning.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-images-transfer_learning.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/images/transfer_learning](https://tensorflow.google.cn/beta/tutorials/images/transfer_learning) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/images/transfer_learning.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/images/transfer_learning.md) ### Text and sequences #### Intro to word embeddings (NLP词嵌入Word embedding实战项目) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-word_embeddings.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-word_embeddings.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/text/word_embeddings](https://tensorflow.google.cn/beta/tutorials/text/word_embeddings) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/word_embeddings.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/word_embeddings.md) #### Classify preprocessed text (文本分类项目实战:电影评论) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-basic_text_classification.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-keras-basic_text_classification.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/keras/basic_text_classification](https://tensorflow.google.cn/beta/tutorials/keras/basic_text_classification) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basic_text_classification.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basic_text_classification.md) #### Classify text with a RNN (使用RNN对文本进行分类实践:电影评论) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-text_classification_rnn.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-text_classification_rnn.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/text/text_classification_rnn](https://tensorflow.google.cn/beta/tutorials/text/text_classification_rnn) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/text_classification_rnn.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/text_classification_rnn.md) ### Estimators #### Linear models ## Advanced tutorials ### Customization #### Overview #### Tensors and operations (tensorflow2.0张量及其操作、numpy兼容、GPU加速) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-basics.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-basics.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/eager/basics](https://tensorflow.google.cn/beta/tutorials/eager/basics) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/basics.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/basics.md) #### Custom layers (使用Keras自定义层) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-custom_layers.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-custom_layers.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/eager/custom_layers](https://tensorflow.google.cn/beta/tutorials/eager/custom_layers) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/custom_layers.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/custom_layers.md) #### Automatic differentiation (TF梯度下降法的核心自动微分和梯度带) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-automatic_differentiation.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-automatic_differentiation.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/eager/automatic_differentiation](https://tensorflow.google.cn/beta/tutorials/eager/automatic_differentiation) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/automatic_differentiation.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/automatic_differentiation.md) #### Custom training: basics (构建tensorflow2.0模型自定义训练的基础步骤) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-custom_training.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-custom_training.htnl) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/eager/custom_training](https://tensorflow.google.cn/beta/tutorials/eager/custom_training) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/custom_training.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/custom_training.md) #### Custom training: walkthrough (使用Keras演示TensorFlow2.0自定义训练实战) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-custom_training_walkthrough.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-custom_training_walkthrough.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/eager/custom_training_walkthrough](https://tensorflow.google.cn/beta/tutorials/eager/custom_training_walkthrough) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/custom_training_walkthrough.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/custom_training_walkthrough.md) #### TF function and AutoGraph (TF梯度下降法的核心自动微分和梯度带) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-automatic_differentiation.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-automatic_differentiation.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/eager/automatic_differentiation](https://tensorflow.google.cn/beta/tutorials/eager/automatic_differentiation) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/automatic_differentiation.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/automatic_differentiation.md) ### Text and sequences #### Generate text with an RNN(使用RNN生成文本实战:莎士比亚风格诗句) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-text_generation.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-text_generation.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/text/text_generation](https://tensorflow.google.cn/beta/tutorials/text/text_generation) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/text_generation.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/text_generation.md) #### Neural Machine Translation with Attention(采用注意力机制的神经机器翻译) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-nmt_with_attention.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-nmt_with_attention.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/text/nmt_with_attention](https://tensorflow.google.cn/beta/tutorials/text/nmt_with_attention) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/nmt_with_attention.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/nmt_with_attention.md #### Image captioning (使用注意力机制给图片取标题) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-image_captioning.html](https://www.mashangxue123.com/tensorflow/tf2-tutorials-text-image_captioning.html) > 英文版本:[https://tensorflow.google.cn/beta/tutorials/text/image_captioning](https://tensorflow.google.cn/beta/tutorials/text/image_captioning) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/image_captioning.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/image_captioning.md) #### Transformer model for language understanding ### Image Generation ### Image Optimization #### Style Transfer ### GANs #### DCGAN #### Pix2Pix ### Auto Encoders #### VAE ### Loading data #### Load CSV data #### Build an image input pipeline #### Load text with tf.data #### Use TFRecords and tf.Example #### Unicode strings ### Distributed training #### Distributed training #### Distributed training with custom training loops #### Multi worker training ## Guide ### Eager essentials ### Variables ### AutoGraph ### Keras #### Keras overview (Keras概述:构建模型,输入数据,训练,评估,回调,保存,分布) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-guide-keras-overview.html](https://www.mashangxue123.com/tensorflow/tf2-guide-keras-overview.html) > 英文版本:[https://tensorflow.google.cn/beta/guide/keras/overview](https://tensorflow.google.cn/beta/guide/keras/overview) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/guide/keras/overview.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/guide/keras/overview.md) #### Keras functional API (不用Sequential模型,TensorFlow中的Keras函数式API ) > 最新版本:[https://www.mashangxue123.com/tensorflow/tf2-guide-keras-functional.html](https://www.mashangxue123.com/tensorflow/tf2-guide-keras-functional.html) > 英文版本:[https://tensorflow.google.cn/beta/guide/keras/functional](https://tensorflow.google.cn/beta/guide/keras/functional) > 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/guide/keras/functional.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/guide/keras/functional.md) #### Train and evaluate (使用TensorFlow Keras进行训练和评估) 最新版本:https://www.mashangxue123.com/tensorflow/tf2-guide-keras-training_and_evaluation.html 英文版本:https://tensorflow.google.cn/beta/guide/keras/training_and_evaluation 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/guide/keras/training_and_evaluation.md #### Write layers and models from scratch #### Save and serialize models #### Write custom callbacks ### Accelerators #### Distribution strategy #### Using GPU ### Data Loading #### Performance ### Serialization #### Checkpoints #### Saved models ### Misc #### Version Compatibility