Abstract: Disclosed are a deep neural network lightweight device based on batch normalization, and a method thereof. The deep neural network lightweight device based on batch normalization includes a memory that stores at least one data and at least one processor that executes a network lightweight module. When executing the network lightweight module, the processor performs learning on an input neural network based on sparsity regularization to adaptively determine at least one parameter of the sparsity regularization, performs pruning on the learning result, and performs fine tuning on the pruning result.

Abstract: Provided are a method and system for training a dynamic deep neural network. The method for training a dynamic deep neural network includes receiving an output of a last layer of the deep neural network and outputting a first loss, receiving an output of a routing module according to an input class of the deep neural network and outputting a second loss, calculating a third loss based on the first loss and the second loss, and updating a weight of the deep neural network by using the third loss.

Abstract: An apparatus and method for searching a neural network architecture may be disclosed. The apparatus may include an architecture searcher and an architecture evaluator. The architecture searcher may search for a topology between nodes included in a basic cell of a network, search for an operation to be applied between the nodes after searching for the topology, and determine the basic cell. The architecture evaluator may evaluate performance of the determined basic cell.

Abstract: A fortune cookie making machine includes a first rotatable assembly having a number of griddles in which the cookie blanks are passed through an oven where they are baked. Thereafter a transfer mechanism strips the cookie blanks one at a time from the griddles and deposits them in a second assembly for stuffing and forming the cookies. In certain embodiments of the invention the second assembly is also rotatable. In the second assembly, a paper slip bearing the fortune message is deposited on the blank, and then the cookie blank is folded and allowed to cool to form the final desired shape. After the cookie is fully formed, it is removed from the second assembly.

Abstract: A fortune cookie making machine includes a first rotatable assembly having a number of griddles in which the cookie blanks are passed through an oven where they are baked. Thereafter a transfer mechanism strips the cookie blanks one at a time from the griddles and deposits them in a second assembly for stuffing and forming the cookies. In certain embodiments of the invention the second assembly is also rotatable. In the second assembly, a paper slip bearing the fortune message is deposited on the blank, and then the cookie blank is folded and allowed to cool to form the final desired shape. After the cookie is fully formed, it is removed from the second assembly.

Abstract: A fortune cookie making machine includes a first rotatable assembly having a number of griddles in which the cookie blanks are passed through an oven where they are baked. Thereafter a transfer mechanism strips the cookie blanks one at a time from the griddles and deposits them in a second assembly for stuffing and forming the cookies. In certain embodiments of the invention the second assembly is also rotatable. In the second assembly, a paper slip bearing the fortune message is deposited on the blank, and then the cookie blank is folded and allowed to cool to form the final desired shape. After the cookie is fully formed, it is removed from the second assembly.