Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
This small release includes support for custom metrics and objects.
Prior to this release, DeepReplay expected a metric name like acc
as argument and would fail if an instance of a metric object were passed as argument instead.
Now, it takes either a metric name or an instance of a metric object (custom or not).
model
parameter included, for fetching model initial conditions without having to fit itbuild_weights
method)build_outputs
method)build_gradients
method)weights_std
: standard deviation of the weights per layergradients_std
: standard deviation of the gradients per layerball
for generating points with zero mean and unit standard deviation inside a n-ballhypercube
for generating points for the corners of a n-dimensional hypercube