PATENT CLAIM ANALYSIS

Application Number: 16038872
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["706", "025000"]

Abstract:
An apparatus for executing backpropagation of an artificial neural network comprises an instruction caching unit, a controller unit, a direct memory access unit, an interconnection unit, a master computation module, and multiple slave computation modules. For each layer in a multilayer neural network, weighted summation may be performed on input gradient vectors to calculate an output gradient vector of this layer. The output gradient vector may be multiplied by a derivative value of a next-layer activation function on which forward operation is performed, so that a next-layer input gradient vector can be obtained. The input gradient vector may be multiplied by an input neuron counterpoint in forward operation to obtain the gradient of a weight value of this layer, and the weight value of this layer can be updated according to the gradient of the obtained weight value of this layer.

Claim (Index 9):
The apparatus of  claim 3 ,\n wherein the interconnection unit is structured as a binary tree including one or more levels, each of which includes one or more nodes, wherein each of the nodes at one level is connected to two nodes at a lower level, and wherein each of the nodes transmits same data to the two nodes at the lower level and combines data received from the two nodes at the lower level.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 95.0
- Lexical Diversity: 2.15493
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11457601', '11953671', '13781508', '15143293', '13707088']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3378836067484629
- 35 USC 102 Novelty (BERT): 0.5058847646571053
- Combined Prediction Score: 0.3546837225393271
- Mean Citation Score: 167.543166
- Max Citation Score: 176.10582
- Similarity Product: 101.58624287081835

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