PATENT CLAIM ANALYSIS

Application Number: 16040067
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["706", "016000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining neural network architectures. One of the methods includes generating, using a controller neural network having controller parameters and in accordance with current values of the controller parameters, a batch of output sequences. The method includes, for each output sequence in the batch: generating an instance of a child convolutional neural network (CNN) that includes multiple instances of a first convolutional cell having an architecture defined by the output sequence; training the instance of the child CNN to perform an image processing task; and evaluating a performance of the trained instance of the child CNN on the task to determine a performance metric for the trained instance of the child CNN; and using the performance metrics for the trained instances of the child CNN to adjust current values of the controller parameters of the controller neural network.

Claim (Index 14):
The method of  claim 12 , wherein generating, using a controller neural network having a plurality of controller parameters and in accordance with current values of the controller parameters, a batch of output sequences, comprises, for each output sequence in the batch and for each of the plurality of time steps:\n providing as input to the controller neural network the value of the hyperparameter at the preceding time step in the output sequence to generate an output for the time step that defines a score distribution over possible values of the hyperparameter at the time step; and sampling from the possible values in accordance with the score distribution to determine the value of the hyperparameter at the time step in the output sequence.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 95.0
- Lexical Diversity: 2.33803
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15352821', '14609775', '14313554', '15434643', '15151362']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3991912571331857
- 35 USC 102 Novelty (BERT): 0.4869600462843207
- Combined Prediction Score: 0.4079681360482992
- Mean Citation Score: 198.946934
- Max Citation Score: 215.07802
- Similarity Product: 156.72661861836912

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

Dataset: test