PATENT CLAIM ANALYSIS

Application Number: 15983441
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["706", "025000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a projection neural network. In one aspect, a projection neural network is configured to receive a projection network input and to generate a projection network output from the projection network input. The projection neural network includes a sequence of one or more projection layers. Each projection layer has multiple projection layer parameters, and is configured to receive a layer input, apply multiple projection layer functions to the layer input, and generate a layer output by applying the projection layer parameters for the projection layer to the projection function outputs.

Claim (Index 1):
A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to implement:\n a projection neural network configured to receive a projection network input and to generate a projection network output from the projection network input, the projection neural network comprising a sequence of one or more projection layers, wherein each projection layer has a plurality of projection layer parameters, and wherein each projection layer is configured to: receive a layer input; apply a plurality of projection layer functions to the layer input, each projection layer function generating a respective projection function output that projects the layer input to a different space, and generate a layer output by applying the projection layer parameters for the projection layer to the projection function outputs.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 93.0
- Lexical Diversity: 2.39583
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15151362', '14793434', '15257539', '14096234', '15174863']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3700568180134863
- 35 USC 102 Novelty (BERT): 0.4672735577931266
- Combined Prediction Score: 0.3797784919914503
- Mean Citation Score: 190.718064
- Max Citation Score: 209.2615
- Similarity Product: 178.81375128462915

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

Dataset: test