Function index

MatConvNet includes several MATLAB functions organized as follows:

• Building blocks. These functions implement the CNN computational blocks that can be combined either manually or using one of the provided wrappers to construct CNNs.
• SimpleCNN wrapper. SimpleNN is a lightweight wrapper implementing CNNs that are linear chains of computational blocks.
• DagNN wrapper. DagNN is an object-oriented wrapper supporting more complex network topologies.
• Other functions. These helper functions are used to initialize and compile MatConvNet.

There is no general training function as training depends on the dataset and problem. Look at the examples subdirectory for code showing how to train CNNs.

Building blocks

• vl_nnbnorm Batch normalization.
• vl_nnbilinearsampler Bilinear Sampler.
• vl_nnconv Linear convolution by a filter.
• vl_nnconcat Concatenation.
• vl_nnconvt Convolution transpose.
• vl_nncrop Cropping.
• vl_nndropout Dropout.
• vl_nnloss Classification log-loss.
• vl_nnnoffset Norm-dependent offset.
• vl_nnnormalize Local Response Normalization (LRN).
• vl_nnpdist Pairwise distances.
• vl_nnpool Max and sum pooling.
• vl_nnrelu Rectified Linear Unit.
• vl_nnroipool Region of interest pooling.
• vl_nnsigmoid Sigmoid.
• vl_nnsoftmax Channel soft-max.
• vl_nnsoftmaxloss Deprecated
• vl_nnspnorm Spatial normalization.

SimpleCNN wrapper

• vl_simplenn A lightweight wrapper for CNNs with a linear topology.
• vl_simplenn_tidy Upgrade or otherwise fix a CNN.
• vi_simplenn_display Print information about the CNN architecture.
• vl_simplenn_move Move the CNN between CPU and GPU.

DagNN wrapper

• DagNN An object-oriented wrapper for CNN with complex topologies

Other functions

• vl_argparse A helper function to parse optional arguments.
• vl_compilenn Compile the MEX fields in the toolbox.
• vl_contrib Download, compile, and setup third-party modules.
• vl_rootnn Return the path to the MatConvNet toolbox installation.
• vl_setpunn Setup MatConvNet for use in MATLAB.
• vl_imreadjpeg Quickly load a batch of JPEG images.
• vl_taccum Accumulate tensors operating in-place when possible.
• vl_tmove Exchange tensors between MATLAB processes and GPUs.
• vl_tshow Show a tensor on screen.