package caisar
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A platform for characterizing the safety and robustness of artificial intelligence based software
Install
dune-project
Dependency
Authors
Maintainers
Sources
caisar-2.0.tbz
sha256=3d24d2940eed0921acba158a8970687743c401c6a99d0aac8ed6dcfedca1429c
sha512=0b4484c0e080b8ba22722fe9d5665f9015ebf1648ac89c566a978dd54e3e061acb63edd92e078eed310e26f3e8ad2c48f3682a24af2acb1f0633da12f7966a38
doc/caisar.nnet/Nnet/index.html
Module NnetSource
Module to parse neural networks written in the NNet format https://github.com/sisl/NNet
Source
type t = private {n_layers : int;(*Number of layers.
*)n_inputs : int;(*Number of inputs.
*)n_outputs : int;(*Number of outputs.
*)max_layer_size : int;(*Maximum layer size.
*)layer_sizes : int list;(*Size of each layer.
*)min_input_values : float list option;(*Minimum values of inputs.
*)max_input_values : float list option;(*Maximum values of inputs.
*)mean_values : (float list * float) option;(*Mean values of inputs and one value for all outputs.
*)range_values : (float list * float) option;(*Range values of inputs and one value for all outputs.
*)weights_biases : float list list;(*All weights and biases of NNet model.
*)nir : Nir.Ngraph.t;
}NNet model metadata.
Convert an well-formed NNet into a Nir.
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