Divide by the batch size.

Divide by the number of examples in the batch times spatial dimensions.

Do not normalize the loss.

Divide by the total number of output locations that do not take the ignore_label.

PERMISSIVE requires only the count (num*channels*height*width) to match.

STRICT (default) requires that num, channels, height, width each match.

The BlobProtoVector is simply a way to pass multiple blobproto instances around.

Specifies the shape (dimensions) of a Blob.

DummyDataLayer fills any number of arbitrarily shaped blobs with random (or constant) data generated by "Fillers" (see "message FillerParameter").

Message that stores parameters used by ELULayer.

Message that stores parameters used by EmbedLayer.

Message that stores parameters used by ExpLayer.

/ Message that stores parameters used by FlattenLayer.

Message that stores parameters used by HDF5DataLayer.

NOTE Update the next available ID when you add a new LayerParameter field.

Message that stores parameters used by LogLayer.

Message that stores parameters shared by loss layers.

Message that stores parameters used by LRNLayer.

Specifies training parameters (multipliers on global learning constants, and the name and other settings used for weight sharing).

Message that stores parameters used by RecurrentLayer.

Message that stores parameters used by ReductionLayer.

Message that stores parameters used by ReLULayer.

Message that stores parameters used by SoftmaxLayer, SoftmaxWithLossLayer.

NOTE Update the next available ID when you add a new SolverParameter field.

A message that stores the solver snapshots.

Message that stores parameters used by ThresholdLayer.

Message that stores parameters used by TileLayer.

Message that stores parameters used to apply transformation to the data layer's data.

DEPRECATED: V0LayerParameter is the old way of specifying layer parameters in Caffe.

DEPRECATED: use LayerParameter.

Normalize the filler variance by fan_in, fan_out, or their average.

How to normalize the loss for loss layers that aggregate across batches, spatial dimensions, or other dimensions.

the mode solver will use: 0 for CPU and 1 for GPU.

DEPRECATED: old solver enum types, use string instead.