PATENT CLAIM ANALYSIS

Application Number: 15894867
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["382", "157000"]

Abstract:
Tasks such as object classification from image data can take advantage of a deep learning process using convolutional neural networks. These networks can include a convolutional layer followed by an activation layer, or activation unit, among other potential layers. Improved accuracy can be obtained by using a generalized linear unit (GLU) as an activation unit in such a network, where a GLU is linear for both positive and negative inputs, and is defined by a positive slope, a negative slope, and a bias. These parameters can be learned for each channel or a block of channels, and stacking those types of activation units can further improve accuracy.

Claim (Index 6):
A computer-implemented method, comprising:\n receiving a query data object; processing the query data object using a trained convolutional neural network to determine a classification of a data segment represented in the query data object, the trained convolutional neural network containing at least one convolutional layer and at least one activation layer, the at least one activation layer including a generalized linear unit (GLU), the GLU having at least two parameters including a first slope, a second slope, an offset, or a combination thereof; determining a set of data segments corresponding to the classification; and providing, to a client device, information for at least a subset of the set of data segments.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 1.73913
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14954646', '15802585', '10837382', '15352821', '15551870']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3036084253531282
- 35 USC 102 Novelty (BERT): 0.5127091600472166
- Combined Prediction Score: 0.3245184988225371
- Mean Citation Score: 177.93588400000004
- Max Citation Score: 313.96484
- Similarity Product: 259.24929716292144

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

Dataset: test