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Developer Docs | Deeplearning4j

• Deeplearning4j Suite Overview
• Release Notes
  • 1.0.0-M2
  • 1.0.0-M2.1
  • 1.0.0-M1.1
  • 1.0.0-M1
  • 1.0.0-beta7
  • 1.0.0-beta6
  • 1.0.0-beta5
  • 1.0.0-beta4
  • 1.0.0-beta3
  • 1.0.0-beta2
  • 1.0.0-beta
  • 1.0.0-alpha
  • 0.9.1
  • 0.9.0
  • 0.8.0
  • 0.7.2
  • 0.7.1
  • 0.7.0
  • 0.6.0
  • 0.5.0
  • 0.4.0
  • 1.00-M2.2
• Multi-Project
  • Tutorials
    • Beginners
    • Quickstart
  • How To Guides
    • Import in to your favorite IDE
    • Contribute
      • Eclipse Contributors
    • Developer Docs
      • Github Actions/Build Infra
      • Javacpp
      • Release
      • Testing
    • Build From Source
    • Benchmark
    • Beginners
  • Reference
    • Examples Tour
    • Core Concepts
    • Trouble Shooting
  • Explanation
    • Required Dependencies
    • The core workflow
    • Configuration
      • Backends
        • Performance Issues
        • CPU
        • Cudnn
      • Memory
        • Workspaces
    • Build Tools
    • Snapshots
    • Maven
• Deeplearning4j
  • Tutorials
    • Quick Start
    • Language Processing
      • Doc2Vec
      • Sentence Iterator
      • Tokenization
      • Vocabulary Cache
  • How To Guides
    • Custom Layers
    • Keras Import
      • Functional Models
      • Sequential Models
      • Custom Layers
      • Keras Import API Overview
        • Advanced Activations
        • Convolutional Layers
        • Core Layers
        • Embedding Layers
        • Local Layers
        • Noise Layers
        • Normalization Layers
        • Pooling Layers
        • Recurrent Layers
        • Wrapper Layers
      • Supported Features Overview
        • Activations
        • Constraints
        • Initializers
        • Losses
        • Optimizers
        • Regularizers
    • Tuning and Training
      • Visualization
      • Troubleshooting Training
      • Early Stopping
      • Evaluation
      • Transfer Learning
  • Reference
    • Model Zoo
      • Zoo Models
    • Activations
    • Auto Encoders
    • Computation Graph
    • Convolutional Layers
    • DataSet Iterators
    • Layers
    • Model Listeners
    • Saving and Loading Models
    • Multi Layer Network
    • Recurrent Layers
    • Updaters/Optimizers
    • Vertices
    • Word2vec/Glove/Doc2Vec
  • Explanation
• datavec
  • Tutorials
    • Overview
  • How To Guides
  • Reference
    • Analysis
    • Conditions
    • Executors
    • Filters
    • Normalization
    • Operations
    • Transforms
    • Readers
    • Records
    • Reductions
    • Schemas
    • Serialization
    • Visualization
  • Explanation
• Nd4j
  • Tutorials
    • Quickstart
  • How To Guides
    • Other Framework Interop
      • Tensorflow
      • TVM
      • Onnx
    • Matrix Manipulation
    • Element wise Operations
    • Basics
  • Reference
    • Op Descriptor Format
    • Tensor
    • Syntax
  • Explanation
• Samediff
  • Tutorials
    • Quickstart
  • How To Guides
    • Importing Tensorflow
    • Adding Operations
      • codegen
  • Reference
    • Operation Namespaces
      • Base Operations
      • Bitwise
      • CNN
      • Image
      • LinAlg
      • Loss
      • Math
      • NN
      • Random
      • RNN
    • Variables
  • Explanation
    • Model Import Framework
• Libnd4j
  • How To Guides
    • Building on Windows
    • Building for raspberry pi or Jetson Nano
    • Building on ios
    • How to Add Operations
    • How to Setup CLion
  • Reference
    • Understanding graph execution
    • Overview of working with libnd4j
    • Helpers Overview (CUDNN, OneDNN,Armcompute)
  • Explanation
• Python4j
  • Tutorials
    • Quickstart
  • How To Guides
    • Write Python Script
  • Reference
    • Python Types
    • Python Path
    • Garbage Collection
    • Python Script Execution
  • Explanation
• Spark
  • Tutorials
    • DL4J on Spark Quickstart
  • How To Guides
    • How To
    • Data How To
  • Reference
    • Parameter Server
    • Technical Reference
  • Explanation
    • Spark API Reference
• codegen

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