How do I

On this page, we are collecting specific questions on how to implement or realize a specific kind of model or feature.

How do I...

• Get nice syntax highlighting for BrainScript config files?

Express things

• Express the error rate of my binary classifier?
• Express a softmax with a temperature parameter?
• Express a gating mechanism?
• Express a softmax over a dynamic axis?
• Zoneout (http://arxiv.org/abs/1606.01305)?
• Build a constant 3D tensor?
• Combine or concatenate vectors in BrainScript?

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?

Evaluate models

• Do early stopping?
• 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?
• 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 (snapshot from auto adjust) model](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?

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?