Neural Network Components (jlnn.nn)

This section contains implementations of logic gates as NNX modules and tools for working with the computational graph.

• Base Logical Elements
  • LogicalElement
  • Key features
  • LogicalElement class
• Parameter Constraints
  • apply_constraints()
  • clip_predicates()
  • clip_weights()
  • Why are restrictions necessary?
  • Main Functions
• Functional Logic Kernels
  • weighted_and()
  • weighted_implication()
  • weighted_nand()
  • weighted_nor()
  • weighted_not()
  • weighted_or()
  • Key features
  • Overview of Gates
  • Advanced operations
• Logical Gates (Stateful)
  • WeightedAnd
  • WeightedImplication
  • WeightedNand
  • WeightedNor
  • WeightedNot
  • WeightedOr
  • WeightedXor
  • Stateful vs. Functional Gates
  • Basic gates
  • Advanced operators
  • Negated gates (NAND, NOR)
• Learned Predicates
  • FixedPredicate
  • LearnedPredicate