Invention Grant
- Patent Title: Low-pass recurrent neural network systems with memory
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Application No.: US16272880Application Date: 2019-02-11
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Publication No.: US11755879B2Publication Date: 2023-09-12
- Inventor: Razvan Pascanu , William Clinton Dabney , Thomas Stepleton
- Applicant: DeepMind Technologies Limited
- Applicant Address: GB London
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Current Assignee Address: GB London
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing and storing inputs for use in a neural network. One of the methods includes receiving input data for storage in a memory system comprising a first set of memory blocks, the memory blocks having an associated order; passing the input data to a highest ordered memory block; for each memory block for which there is a lower ordered memory block: applying a filter function to data currently stored by the memory block to generate filtered data and passing the filtered data to a lower ordered memory block; and for each memory block: combining the data currently stored in the memory block with the data passed to the memory block to generate updated data, and storing the updated data in the memory block.
Public/Granted literature
- US20190251419A1 LOW-PASS RECURRENT NEURAL NETWORK SYSTEMS WITH MEMORY Public/Granted day:2019-08-15
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