Abstract: Disclosed is a method of compressing a neural network model that is performed by a computing device. The method includes receiving a trained model and compression method instructions for compressing the trained model, identifying a compressible block and a non-compressible block among a plurality of blocks included in the trained model based on the compression method instructions, transmitting a command to a user device that causes the user device to: display a structure of the trained model representing a connection relationship between the plurality of blocks on a first screen such that the compressible block and the non-compressible block are visually distinguished, and display, on a second screen, an input field operable to receive a parameter value entered by a user for compression of the compressible block, and compressing the trained model based on the parameter value entered by the user in the input field.

Abstract: Disclosed is a method of compressing a neural network model that is performed by a computing device. The method includes receiving a trained model and compression method instructions for compressing the trained model, identifying a compressible block and a non-compressible block among a plurality of blocks included in the trained model based on the compression method instructions, transmitting a command to a user device that causes the user device to: display a structure of the trained model representing a connection relationship between the plurality of blocks on a first screen such that the compressible block and the non-compressible block are visually distinguished, and display, on a second screen, an input field operable to receive a parameter value entered by a user for compression of the compressible block, and compressing the trained model based on the parameter value entered by the user in the input field.

Abstract: Disclosed is a method of providing information on a neural network model. The method includes receiving information on a target device and target performance of the neural network model; deriving information on a plurality of candidate neural network models; and transmitting a command to the external device to display information on the plurality of candidate neural network models, wherein the information on the plurality of candidate neural network models includes at least one of name of the plurality of candidate neural network models, performance of the plurality of candidate neural network models, or size of input data of the plurality of candidate neural network models.

Abstract: Disclosed is a method of controlling an electronic apparatus. The method includes receiving a trained model based on a data set and information on a target device, compressing the trained model based on compression configuring information for compression of the trained model, and providing download data corresponding to the compressed trained model so that the compressed trained model may be deployed on the target device.

Abstract: Disclosed is a method of compressing a neural network model that is performed by a computing device. The method includes receiving a trained model and compression method instructions for compressing the trained model, identifying a compressible block and a non-compressible block among a plurality of blocks included in the trained model based on the compression method instructions, transmitting a command to a user device that causes the user device to: display a structure of the trained model representing a connection relationship between the plurality of blocks on a first screen such that the compressible block and the non-compressible block are visually distinguished, and display, on a second screen, an input field operable to receive a parameter value entered by a user for compression of the compressible block, and compressing the trained model based on the parameter value entered by the user in the input field.

Abstract: An operating method of a memory controller may include: enabling a security mode in response to a first command received from a host; generating a security key based on a host key received from the host; storing the security key in a security key storing unit; and/or performing a first data processing operation of encrypting data received from the host and decrypting data stored in a non-volatile memory device, based on the security key, when the security mode is enabled. The security key storing unit may be a volatile memory.

Abstract: An operating method of a memory controller may include: enabling a security mode in response to a first command received from a host; generating a security key based on a host key received from the host; storing the security key in a security key storing unit; and/or performing a first data processing operation of encrypting data received from the host and decrypting data stored in a non-volatile memory device, based on the security key, when the security mode is enabled. The security key storing unit may be a volatile memory.