ResNet50noTopCustom

This model is a neural network for image classification that take images as input and classify the major object in the image into a set of 1000 different classes (labels are available via org.jetbrains.kotlinx.dl.impl.dataset.Imagenet.V1k.labels method).

This model has 50 layers with ResNetv1 architecture.

The model have

• an input with the shape (1x224x224x3)

• an output with the shape (N,M3,M4,2048)

NOTE: This model is converted from Keras.applications, the last two layers in the model have been removed so that the user can fine-tune the model for his specific task.