1. tensorflow2.0 官方教程目录导航
    1. Get started with TensorFlow 2.0
    2. Effective TensorFlow 2.0(高效的tensorflow 2.0)
    3. Migrate from TF 1 to TF 2
    4. Convert with the upgrade script
    5. Get started for beginners (初学者入门 TensorFlow 2.0)
    6. Get started for experts (专家入门TensorFlow 2.0)
  • Beginner tutorials
    1. ML basics
      1. Overview
      2. Classify images (训练您的第一个神经网络:基本分类)
      3. Classify text 使用Keras和TensorFlow Hub对电影评论进行文本分类)
      4. Classify structured data (结构化数据分类实战:心脏病预测)
      5. Regression (回归项目实战:预测燃油效率 )
      6. Overfitting and underfitting (探索过拟合和欠拟合)
      7. Save and restore models (tensorflow2保存和加载模型 )
    2. Images
      1. Convolutional Neural Networks (使用TensorFlow2.0实现卷积神经网络CNN对MNIST数字分类)
      2. Transfer learning with TFHub (基于Keras使用TensorFlow Hub实现迁移学习)
      3. Transfer learning with pretrained CNNs (使用预训练的卷积神经网络进行迁移学习)
    3. Text and sequences
      1. Intro to word embeddings (NLP词嵌入Word embedding实战项目)
      2. Classify preprocessed text (文本分类项目实战:电影评论)
      3. Classify text with a RNN (使用RNN对文本进行分类实践:电影评论)
    4. Estimators
      1. Linear models
  • Advanced tutorials
    1. Customization
      1. Overview
      2. Tensors and operations (tensorflow2.0张量及其操作、numpy兼容、GPU加速)
      3. Custom layers (使用Keras自定义层)
      4. Automatic differentiation (TF梯度下降法的核心自动微分和梯度带)
      5. Custom training: basics (构建tensorflow2.0模型自定义训练的基础步骤)
      6. Custom training: walkthrough (使用Keras演示TensorFlow2.0自定义训练实战)
      7. TF function and AutoGraph (TF梯度下降法的核心自动微分和梯度带)
    2. Text and sequences
      1. Generate text with an RNN(使用RNN生成文本实战:莎士比亚风格诗句)
      2. Neural Machine Translation with Attention(采用注意力机制的神经机器翻译)
      3. Image captioning (使用注意力机制给图片取标题)
      4. Transformer model for language understanding
    3. Image Generation
    4. Image Optimization
      1. Style Transfer
    5. GANs
      1. DCGAN
      2. Pix2Pix
    6. Auto Encoders
      1. VAE
    7. Loading data
      1. Load CSV data
      2. Build an image input pipeline
      3. Load text with tf.data
      4. Use TFRecords and tf.Example
      5. Unicode strings
    8. Distributed training
      1. Distributed training
      2. Distributed training with custom training loops
      3. Multi worker training
  • Guide
    1. Eager essentials
    2. Variables
    3. AutoGraph
    4. Keras
      1. Keras overview (Keras概述:构建模型,输入数据,训练,评估,回调,保存,分布)
      2. Keras functional API (不用Sequential模型,TensorFlow中的Keras函数式API )
      3. Train and evaluate (使用TensorFlow Keras进行训练和评估)
      4. Write layers and models from scratch
      5. Save and serialize models
      6. Write custom callbacks
    5. Accelerators
      1. Distribution strategy
      2. Using GPU
    6. Data Loading
      1. Performance
    7. Serialization
      1. Checkpoints
      2. Saved models
    8. Misc
      1. Version Compatibility
  • 最全TensorFlow2.0学习路线 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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本:https://tensorflow.google.cn/beta/tutorials/images/save_and_restore_models
    翻译建议PR: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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    Custom layers (使用Keras自定义层)

    最新版本:https://www.mashangxue123.com/tensorflow/tf2-tutorials-eager-custom_layers.html
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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
    英文版本: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

    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
    英文版本: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

    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
    英文版本: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

    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


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