> For the complete documentation index, see [llms.txt](https://deeplearning4j.konduit.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://deeplearning4j.konduit.ai/en-1.0.0-rewrite/model-import/overview-1/layers-local.md).

# Local Layers

### Keras Locally Connected Layer Import

Locally connected layers are like convolutional layers, but do not share weights across spatial locations. Each spatial position has its own distinct set of filters. Support is implemented in the [layers/local](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local) package.

#### Support Summary

| Keras Layer        | DL4J Equivalent    | Supported |
| ------------------ | ------------------ | --------- |
| LocallyConnected1D | LocallyConnected1D | Yes       |
| LocallyConnected2D | LocallyConnected2D | Yes       |

***

### KerasLocallyConnected1D

[source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1D.java)

Imports a Keras `LocallyConnected1D` layer as a DL4J `LocallyConnected1D` layer.

#### Constructor

```java
public KerasLocallyConnected1D(Integer kerasVersion) throws UnsupportedKerasConfigurationException
```

Pass-through constructor. `kerasVersion` is the major Keras version (1 or 2).

#### getLocallyConnected1DLayer

```java
public LocallyConnected1D getLocallyConnected1DLayer()
```

Returns the DL4J `LocallyConnected1D` layer. Configuration includes:

* `filters` → number of output filters (nOut)
* `kernel_size` → filter size
* `strides` → stride
* `padding` → `"valid"` only (same padding is not supported for locally connected)
* `activation` → per-position activation function

#### getOutputType

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

Returns the output `InputType` based on the filter count, kernel size, and stride.

**Parameters:**

* `inputType` — array of input `InputType` objects

#### setWeights

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

Loads the locally connected weight tensor and bias from the HDF5 file. The weight tensor for `LocallyConnected1D` has shape `[output_length, kernel_size * input_channels, filters]`; the importer handles the reshape from Keras's storage format.

**Parameters:**

* `weights` — map from parameter name to `INDArray`

***

### KerasLocallyConnected2D

[source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2D.java)

Imports a Keras `LocallyConnected2D` layer as a DL4J `LocallyConnected2D` layer.

#### Constructor

```java
public KerasLocallyConnected2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException
```

#### getLocallyConnected2DLayer

```java
public LocallyConnected2D getLocallyConnected2DLayer()
```

Returns the DL4J `LocallyConnected2D` layer. Configuration includes:

* `filters` → number of output filters
* `kernel_size` → 2D filter size (height, width)
* `strides` → 2D stride
* `padding` → `"valid"` only
* `activation` → activation function

#### getOutputType

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

#### setWeights

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

Loads the 2D locally connected weight tensor and bias. The weight tensor has shape `[output_rows, output_cols, kernel_rows * kernel_cols * input_channels, filters]`.

***

### Notes

* Locally connected layers have significantly more parameters than equivalent convolutional layers because weights are not shared spatially.
* Only `padding="valid"` is supported. `padding="same"` will throw `UnsupportedKerasConfigurationException`.
* These layers are relatively uncommon in modern architectures; they were more prevalent in early face recognition models (e.g., DeepFace). For most use cases, standard convolutional layers with sufficient depth are preferred.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://deeplearning4j.konduit.ai/en-1.0.0-rewrite/model-import/overview-1/layers-local.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.