PATENT CLAIM ANALYSIS

Application Number: 15946331
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["706", "025000"]

Abstract:
A computing system provides distributed training of a neural network model. Explore phase options, exploit phase options, a subset of a training dataset, and a validation dataset are distributed to a plurality of computing devices. (a) Execution of the model by the computing devices is requested using the subset stored at each computing device. (b) A first result of the execution is received from a computing device. (c) Next configuration data for the neural network model is selected based on the first result and distributed to the computing device. (a) to (c) is repeated until an exploration phase is complete. (d) Execution of the neural network model is requested. (e) A second result is received. (f) Next configuration data is computed based on the second result and distributed to the computing device. (d) to (f) is repeated until an exploitation phase is complete. The next configuration data defines the model.

Claim (Index 24):
The method of  claim 23 , wherein each distributed subset is different.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 2.83077
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15822462', '15433662', '15928363', '15658566', '14490189']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3597618912479319
- 35 USC 102 Novelty (BERT): 0.514175865198212
- Combined Prediction Score: 0.37520328864296
- Mean Citation Score: 220.110194
- Max Citation Score: 251.74866
- Similarity Product: 157.20190685531975

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test