Debugging deep neural networks

A computer system for debugging a deep neural network, comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• identifying, automatically, one or more debug layers associated with a deep learning (DL) model, and wherein identifying the one or more debug layers further comprises identifying the one or more debug layers for debugging based on a determination of whether a standard task and standard model architecture is associated with the DL model and whether a non-standard task and non-standard architecture is associated with the DL model,
• wherein the identified one or more debug layers include one or more errors,
• wherein a reverse operation is introduced for the identified one or more debug layers;
• and
• presenting, to a user, a debug output based on at least one break condition,
• wherein in response to determining the at least one break condition is satisfied, triggering the debug output to be presented to the user,
• wherein the presented debug output includes a fix for the identified one or more debug layers in the DL model and at least one actionable insight.

A computer program product for debugging a deep neural network, the computer program product comprising a computer-readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:

• identifying, automatically, one or more debug layers associated with a deep learning (DL) model, and wherein identifying the one or more debug layers further comprises identifying the one or more debug layers for debugging based on a determination of whether a standard task and standard model architecture is associated with the DL model and whether a non-standard task and non-standard architecture is associated with the DL model,
• wherein the identified one or more debug layers include one or more errors,
• wherein a reverse operation is introduced for the identified one or more debug layers;
• and
• presenting, to a user, a debug output based on at least one break condition,
• wherein in response to determining the at least one break condition is satisfied, triggering the debug output to be presented to the user,
• wherein the presented debug output includes a fix for the identified one or more debug layers in the DL model and at least one actionable insight.