How do I in Python

Express things

• Implement an attention mechanism?
• Interrogate the dimensions of internal layers of a network from within the Python API?
• Introspect or inspect or list model input variables?
• Port projection of 1D input to 1D output from Python API to C++ API?
• Port LSTM NDL primitives to Python?
• Restrict a prediction to a bounded interval?
• Set the verbosity or traceLevel from Python?
• Expose new operands in V2 Python from previous V1 implementations?

Train models

• Interpret the use of MinibatchSource.next_minibatch?
• Load pre-trained checkpointed model and continue retraining?
• Relate alpha, beta1, beta2 and epsilon to learning rate and momentum in adam_sgd?
• Train two or more models jointly?
• Train with a weighted loss?
• Train a multilabel classifier in Python?
• Train an Image auto encoder using Deconvolution and Unpooling?
• Object Detection using Fast R-CNN
• Build your own image classifier using Transfer Learning

Evaluate models

• Evaluate a saved convolutional network?
• Extract features from a specific layer using a trained model?

Adapt models

• Read and modify the training weights from Python?

Read things

• Load model and access network weights / parameters?

Deal with errors

• Debug a Python notebook?
• Get things to work correctly when I take the last element of a sequence?