ai.djl.basicmodelzoo.cv.classification

Class ResNetV1

java.lang.Object

ai.djl.basicmodelzoo.cv.classification.ResNetV1

public final class ResNetV1
extends java.lang.Object

ResNetV1 contains a generic implementation of ResNet adapted from https://github.com/tornadomeet/ResNet/blob/master/symbol_resnet.py (Original author Wei Wu) by Antti-Pekka Hynninen.

Implementing the original resnet ILSVRC 2015 winning network from Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. "Deep Residual Learning for Image Recognition"

See Also:

The D2L chapter on ResNet

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ResNetV1.Builder The Builder to construct a ResNetV1 object.

Method Summary

Modifier and Type	Method and Description
static ResNetV1.Builder	builder() Creates a builder to build a ResNetV1.
static ai.djl.nn.Block	residualUnit(int numFilters, ai.djl.ndarray.types.Shape stride, boolean dimMatch, boolean bottleneck, float batchNormMomentum) Builds a Block that represents a residual unit used in the implementation of the Resnet model.
static ai.djl.nn.Block	resnet(ResNetV1.Builder builder) Creates a new Block of ResNetV1 with the arguments from the given ResNetV1.Builder.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

residualUnit

public static ai.djl.nn.Block residualUnit(int numFilters,
                                           ai.djl.ndarray.types.Shape stride,
                                           boolean dimMatch,
                                           boolean bottleneck,
                                           float batchNormMomentum)

Builds a Block that represents a residual unit used in the implementation of the Resnet model.

Parameters:

numFilters - the number of output channels

stride - the stride of the convolution in each dimension

dimMatch - whether the number of channels between input and output has to remain the same

bottleneck - whether to use bottleneck architecture

batchNormMomentum - the momentum to be used for BatchNorm

Returns:

a Block that represents a residual unit

resnet

public static ai.djl.nn.Block resnet(ResNetV1.Builder builder)

Creates a new Block of ResNetV1 with the arguments from the given ResNetV1.Builder.

Parameters:

builder - the ResNetV1.Builder with the necessary arguments

Returns:

a Block that represents the required ResNet model

builder

public static ResNetV1.Builder builder()

Creates a builder to build a ResNetV1.

Returns:

a new builder