Top model description

topModel.kt

val topModel = Sequential.of(
   GlobalAvgPool2D(
       name = "top_avg_pool",
   ),
   Dense(
       name = "top_dense",
       kernelInitializer = GlorotUniform(),
       biasInitializer = GlorotUniform(),
       outputSize = 200,
       activation = Activations.Relu
   ),
   Dense(
       name = "pred",
       kernelInitializer = GlorotUniform(),
       biasInitializer = GlorotUniform(),
       outputSize = NUM_CLASSES,
       activation = Activations.Linear
   ),
   noInput = true
)