GitLab

visit_layers_range().

Add an overload of dnn_trainer::train_one_step that takes a pair of
iterators rather than a std::vector.

singular value of the input matrix rather than as an absolute tolerance.

calling code.

are empty, leading to MATLAB complaining about output arguments to being
assigned.

tiled_pyramid_to_image().

test_box_overlap so they are less confusing and vague.

from objects that are implicitly convertible to a loss details object
just like you can for computational layers.

alias tensors.  Now any kind of tensors are supported.

environments.

expecting an array2d like object.

not destruct and recreate themselves when you switch devices.  Instead, they
keep a table of context objects, for each thread and device, reusing as necessary.

This prevents churn in the context objects when you are switching back and
forth between devices inside a single thread.