DL4J（Deep Learning for Java）Document
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Optimizers
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2019-10-07 09:36:48
SGD
RMSprop
Adadelta
Adam
Nadam
TFOptimizer
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Arbiter
Layer Spaces
Overview
Parameter Spaces
Configuration
Snapshots
SBT, Gradle, & Others
Memory Workspaces
cuDNN
Performance Issues Debugging
Maven
GPU/CPU Setup
Memory Management
DataVec
Records
Transforms
Schema
Operations
Serialization
Filters
Overview
Normalization
Conditions
Executors
Reductions
Readers
Analysis
Visualization
Distributed Deep Learning
Technical Explanation
How To Guide
Introduction/Getting Started
API Reference
Spark Data Pipelines Guide
Parameter Server
Get Started
Beginners
Contribute
Quickstart
Examples Tour
Benchmark Guide
Cheat Sheet
Build from Source
Core Concepts
Keras Import
Convolutional Layers
Wrapper Layers
Core Layers
Regularizers
Functional Model
Import
Embedding Layers
Backends
Local Layers
Get Started
Overview
Activations
Recurrent Layers
Noise Layers
Sequential Model
Pooling Layers
Optimizers
Supported Features
Initializers
Constraints
Normalization Layers
Losses
Advanced Activations
Language Processing
Overview
Sentence Iteration
Vocab Cache
Tokenization
Word2Vec
Doc2Vec
Mobile
Android Overview
Android Classifier
Android Prerequisites
Android Image Classifier
Models
Listeners
Model Persistence
Updaters
Autoencoders
Iterators
Zoo Models
Layers
Vertices
Activations
Computation Graph
RNN
Multilayer Network
Custom Layers
Zoo Usage
Convolutional
ND4J
Matrix Manipulation
Syntax
Tensors
Elementwise Ops
Overview
Quick start tutorial
Basic Usage
SameDiff
Ops
Variables
Tuning & Training
Early Stopping
Troubleshooting
Visualization
t-SNE Visualization
Evaluation
Transfer Learning
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