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# Summary
*
[
Introduction
](
README.md
)
*
中文教程
*
快速入门
*
[
开始使用TensorFlow 2.0
](
getting_started.md
)
*
初学者教程
*
文本和序列
*
[
Word Embeddings
](
tutorials/text/word_embeddings.md
)
*
中文文档
*
快速入门
*
[
开始使用TensorFlow 2.0
](
getting_started.md
)
*
[
Effective TensorFlow 2
](
)
*
[
Migrate from TF 1 to TF 2
](
)
*
[
Convert with the upgrade script
](
)
*
[
Get started for beginners
](
)
*
[
Get started for experts
](
)
*
初学者教程
*
ML basics
*
[
Overview
](
)
*
[
Classify images
](
)
*
[
Classify text
](
)
*
[
Classify structured data
](
)
*
[
Regression
](
)
*
[
Overfitting and underfitting
](
)
*
[
Save and restore models
](
)
*
Images
*
[
Convolutional neural networks
](
)
*
[
Transfer learning with TFHub
](
)
*
[
Transfer learning with pretrained CNNs
](
)
*
文本和序列
*
[
Word Embeddings 简介
](
tutorials/text/word_embeddings.md
)
*
[
Classify preprocessed text
](
)
*
[
Classify text with a RNN
](
)
*
Estimators
*
[
Premade estimators
](
)
*
[
Linear models
](
)
*
ADVANCED TUTORIALS
*
Customization
*
[
Overview
](
)
*
[
Tensors and operations
](
)
*
[
Custom layers
](
)
*
[
Automatic differentiation
](
)
*
[
Custom training: basics
](
)
*
[
Custom training: walkthrough
](
)
*
[
TF function and AutoGraph
](
)
*
Text and sequences
*
[
Generate text with an RNN
](
)
*
[
Translation with attention
](
)
*
[
Image captioning
](
)
*
[
Transformer model for language understanding
](
)
*
lmage generation
*
[
Style transfer
](
)
*
[
DCGAN
](
)
*
[
Pix2Pix
](
)
*
[
CycleGAN
](
)
*
[
Variational autoencoder
](
)
*
[
Adversarial FGSM
](
)
*
Load and preprocess data
*
[
CSV
](
)
*
[
Numpy
](
)
*
[
Pandas
](
)
*
[
lmages
](
)
*
[
Text
](
)
*
[
TFRecords
](
)
*
[
Unicode
](
)
*
[
TF.Text
](
)
*
Distributed training
*
[
Distributed training
](
)
*
[
Distributed training with custom
](
)
*
[
training loops
](
)
*
[
Multi worker training with
](
)
*
[
Estimator
](
)
*
[
Multi worker training with Keras
](
)
*
GUIDE
*
[
Eager essentials
](
)
*
[
Variables
](
)
*
[
AutoGraph
](
)
*
Keras
*
[
Keras overview
](
)
*
[
Keras functional API
](
)
*
[
Train and evaluate
](
)
*
[
Write layers and models from scratch
](
)
*
[
Save and serialize models
](
)
*
[
Write custom callbacks
](
)
*
Accelerators
*
[
Distribution strategy
](
)
*
[
Using GPU
](
)
*
Data input pipelines
*
[
tf.data Overview
](
)
*
[
Performance
](
)
*
Serialization
*
[
Checkpoints
](
)
*
[
Saved models
](
)
*
Misc
*
[
Version compatibility
](
)
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