PATENT CLAIM ANALYSIS

Application Number: 16174165
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["706", "025000"]

Abstract:
Aspects for backpropagation of a convolutional neural network are described herein. The aspects may include a direct memory access unit configured to receive input data from a storage device and a master computation module configured to select one or more portions of the input data based on a predetermined convolution window. Further, the aspects may include one or more slave computation modules respectively configured to convolute one of the one or more portions of the input data with one of one or more previously calculated first data gradients to generate a kernel gradient, wherein the master computation module is further configured to update a prestored convolution kernel based on the kernel gradient.

Claim (Index 11):
The apparatus of  claim 1 , wherein the instruction is selected from the group consisting of a convolution network sigmoid derivative instruction, a convolution network tanh derivative instruction, a convolution network relu derivative instruction, and a convolution network softmax derivative instruction.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 97.0
- Lexical Diversity: 1.8871
- Patent Class: 706.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16174155', '16039567', '16171291', '16167425', '14846579']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4391361778053361
- 35 USC 102 Novelty (BERT): 0.5326693620944385
- Combined Prediction Score: 0.4484894962342463
- Mean Citation Score: 241.505568
- Max Citation Score: 381.29498
- Similarity Product: 277.53603591768984

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

Dataset: test