Tag-based apparatus and methods for neural networks

A method of dynamic partitioning of a computerized neural network comprising a plurality of elements, the method comprising:

• identifying a subset of elements of said network using a tag;
• wherein said identifying and said assigning cooperate to enable selection of said each element of said subset using a single selection operation;
• and
• wherein said identifying said subset is based at least in part on executing a Boolean expression comprises a keyword selected from the group consisting of AND, NOT, and OR.

A processing apparatus comprising a nonvolatile storage medium configured to store a plurality of instructions, which, when executed, effect dynamic partitioning of a neural network according to a method, the method comprising:

• identifying a subset of elements of said neural network;
• executing, by the processing apparatus, a mathematical expression configured to identify each element of said subset;
• and
• assigning a tag to said each element of said subset of elements, said tag comprising an identifier configured to identify said each element;
• wherein said assigning said tag is configured to enable generation of a new network element comprising said subset of elements;
• and
• wherein said mathematical expression comprises a Boolean operation.