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HOW TO
Development
API
GET STARTED
Quick Start
Install and Build
Install Using pip
Run in Docker Containers
Build using Docker
Build from Sources
HOW TO
Set Command-line Parameters
Use Case
Argument Outline
Detail Description
Distributed Training
Preparations
Command-line arguments
Use different clusters
Cluster Training Using Fabric
Cluster Training Using OpenMPI
PaddlePaddle On Kubernetes
Distributed PaddlePaddle Training on AWS with Kubernetes
RNN Models
RNN Configuration
Tune GPU Performance
Development
Write New Layers
Contribute Code
Contribute Documentation
API
Model Configuration
Activation
Layers
Evaluators
Optimizer
Pooling
Networks
Parameter Attribute
Data Reader Interface and DataSets
Data Reader Interface
Image Interface
Dataset
Training and Inference
Fluid
layers
data_feeder
executor
initializer
evaluator
nets
optimizer
param_attr
profiler
regularizer
io
API
>
Fluid
Fluid
¶
layers
data_feeder
executor
initializer
evaluator
nets
optimizer
param_attr
profiler
regularizer
io