ResNeXt

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Implementations

import keras

keras.applications.resnext.ResNeXt50(include_top=True, weights='imagenet', input_tensor=None, input_shape=None, pooling=None, classes=1000)
keras.applications.resnext.ResNeXt101(include_top=True, weights='imagenet', input_tensor=None, input_shape=None, pooling=None, classes=1000)

ResNeXt models, with weights pre-trained on ImageNet.

This model and can be built both with 'channels_first' data format (channels, height, width) or 'channels_last' data format (height, width, channels).

The default input size for this model is 224x224.

kerasresnext
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