How do I in BrainScript

• Express things
• Train models
• Perform layer-wise training?
• Train with a multitask objective?
• Train a regression model on images?
• Train a multilabel classifier?
• Get started in sequence to sequence modelling?
• Train a DSSM (or a convolutional-DSSM) model?
• Train an Image auto encoder using Deconvolution and Unpooling?
• Object Detection using Fast R-CNN

Evaluate models

• Interpret the training loss?
• Do early stopping?
• Monitor the error on a held out set during training?
• Set the dropout rate to 0 during evaluation/testing?
• Evaluate my newly trained model but output the activations at an intermediate layer?
• Associate an id with a prediction?
• Deploy model evaluation on Windows?
• Evaluate a model in an Azure WebApi

Adapt models

• Use a trained model as a feature extractor?
• Use an already trained network multiple times inside a larger network?
• Adapt a model I trained on one task to another
• Save and reload weights from one model to another
• Continue training from a previously saved model?

Read things

• Specify multiple label streams with the HTKMLFReader?
• Use the built-in readers to train a network model using multiple input files?
• Put labels and features in separate files with CNTKTextFormatReader?

Deal with errors

• Deal with the error "No node named 'x'; skipping"?
• Avoid the "AddSequence: Sequences must be a least one frame long." exception in sequence to sequence?
• Deal with the "No Output nodes found" error?
• Deal with the error "Reached the maximum number of allowed errors"?
• Deal with "InputValue operation had its row dimension x changed by the reader to y"?
• Avoid the error CURAND failure 201?