PATENT CLAIM ANALYSIS

Application Number: 16444443
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["706", "025000"]

Abstract:
Aspects of data modification for neural networks are described herein. The aspects may include a data modifier configured to receive input data and weight values of a neural network. The data modifier may include an input data configured to modify the received input data and a weight modifier configured to modify the received weight values. The aspects may further include a computing unit configured to calculate one or more groups of output data based on the modified input data and the modifier weight values.

Claim (Index 12):
The method of  claim 11 , further comprising setting, by the input data pruning module, at least one of the one or more connection values to zero, wherein the at least one of the one or more connection values correspond to at least one of the one or more groups of input data, wherein absolute values of the at least one of the one or more groups of input data are less than or equal to a first threshold value.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 100.0
- Lexical Diversity: 2.14634
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16039567', '16041160', '16174155', '14982587', '14513280']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3338856831266802
- 35 USC 102 Novelty (BERT): 0.4757892531891763
- Combined Prediction Score: 0.3480760401329298
- Mean Citation Score: 149.273282
- Max Citation Score: 157.91138
- Similarity Product: 108.50498363375902

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test