tensorflow2-zh

by mashangxue

mashangxue /tensorflow2-zh

TensorFlow2.0 官方教程翻译,基本概念讲解、实战项目、TensorFlow2.0编程技巧。

149 Stars 354 Forks Last release: Not found 191 Commits 0 Releases

Available items

No Items, yet!

The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:


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

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-basictextclassificationwithtfhub.html 英文版本:https://tensorflow.google.cn/beta/tutorials/keras/basictextclassificationwithtfhub 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basictextclassificationwithtfhub.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-overfitandunderfit.html 英文版本:https://tensorflow.google.cn/beta/tutorials/keras/overfitandunderfit 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/overfitandunderfit.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-saveandrestore_models.html 英文版本:https://tensorflow.google.cn/beta/tutorials/keras/saveandrestore_models 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/saveandrestore_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-introtocnns.html 英文版本:https://tensorflow.google.cn/beta/tutorials/images/saveandrestore_models 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/images/introtocnns.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-hubwithkeras.html 英文版本:https://tensorflow.google.cn/beta/tutorials/images/hubwithkeras 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/images/hubwithkeras.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-basictextclassification.html 英文版本:https://tensorflow.google.cn/beta/tutorials/keras/basictextclassification 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/keras/basictextclassification.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-textclassificationrnn.html 英文版本:https://tensorflow.google.cn/beta/tutorials/text/textclassificationrnn 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/textclassificationrnn.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-customtrainingwalkthrough.html 英文版本:https://tensorflow.google.cn/beta/tutorials/eager/customtrainingwalkthrough 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/eager/customtrainingwalkthrough.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-nmtwithattention.html 英文版本:https://tensorflow.google.cn/beta/tutorials/text/nmtwithattention 翻译建议PR:[https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/nmtwithattention.md](https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/tutorials/text/nmtwithattention.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-trainingandevaluation.html 英文版本:https://tensorflow.google.cn/beta/guide/keras/trainingandevaluation 翻译建议PR:https://github.com/mashangxue/tensorflow2-zh/edit/master/r2/guide/keras/trainingandevaluation.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

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.