Deeplearning4j
Community ForumND4J JavadocDL4J Javadoc
EN 1.0.0-M1.1
EN 1.0.0-M1.1
  • Deeplearning4j Suite Overview
  • Release Notes
    • 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
  • 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
    • Explanation
      • 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
  • RL4j
    • Tutorials
    • How To Guides
    • Reference
    • 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
Powered by GitBook
On this page
  • KerasLocallyConnected1D
  • KerasLocallyConnected2D

Was this helpful?

Edit on Git
Export as PDF
  1. Deeplearning4j
  2. How To Guides
  3. Keras Import
  4. Keras Import API Overview

Local Layers

PreviousEmbedding LayersNextNoise Layers

Was this helpful?

KerasLocallyConnected1D

Imports a 1D locally connected layer from Keras.

KerasLocallyConnected1D

public KerasLocallyConnected1D(Integer kerasVersion) throws UnsupportedKerasConfigurationException

Pass-through constructor from KerasLayer

  • param kerasVersion major keras version

  • throws UnsupportedKerasConfigurationException Unsupported Keras config

getLocallyConnected1DLayer

public LocallyConnected1D getLocallyConnected1DLayer()

Constructor from parsed Keras layer configuration dictionary.

  • param layerConfig dictionary containing Keras layer configuration

  • throws InvalidKerasConfigurationException Invalid Keras config

  • throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException

Get layer output type.

  • param inputType Array of InputTypes

  • return output type as InputType

  • throws InvalidKerasConfigurationException Invalid Keras config

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException

Set weights for 1D locally connected layer.

  • param weights Map from parameter name to INDArray.

KerasLocallyConnected2D

Imports a 2D locally connected layer from Keras.

KerasLocallyConnected2D

public KerasLocallyConnected2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException

Pass-through constructor from KerasLayer

  • param kerasVersion major keras version

  • throws UnsupportedKerasConfigurationException Unsupported Keras config

getLocallyConnected2DLayer

public LocallyConnected2D getLocallyConnected2DLayer()

Constructor from parsed Keras layer configuration dictionary.

  • param layerConfig dictionary containing Keras layer configuration

  • throws InvalidKerasConfigurationException Invalid Keras config

  • throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException

Get layer output type.

  • param inputType Array of InputTypes

  • return output type as InputType

  • throws InvalidKerasConfigurationException Invalid Keras config

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException

Set weights for 2D locally connected layer.

  • param weights Map from parameter name to INDArray.

[source]
[source]