Maginot, Moore & Beck LLP
Effective building block design for deep convolutional neural networks using search
A search framework for finding effective architectural building blocks for deep convolutional neural networks is disclosed. The search framework described herein utilizes a building block which incorporates branch and skip connections. At least some operations of the architecture of the building block are undefined and treated as hyperparameters which can be automatically selected and optimized for a particular task. The search framework uses random search over the reduced search space to generate a building block and repeats the building block multiple times to create a deep convolutional neural network.
Robert Bosch GmbH
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Mohak Unmesh Jayanta Kumar Jiayi
Shah Kurup Dutta Liu