Abstract:
An electronic apparatus for performing machine learning a method of machine learning, and a non-transitory computer-readable recording medium are provided. The electronic apparatus includes an operation module configured to include a plurality of processing elements arranged in a predetermined pattern and share data between the plurality of processing elements which are adjacent to each other to perform an operation; and a processor configured to control the operation module to perform a convolution operation by applying a filter to input data, wherein the processor controls the operation module to perform the convolution operation by inputting each of a plurality of elements configuring a two-dimensional filter to the plurality of processing elements in a predetermined order and sequentially applying the plurality of elements to the input data.
Abstract:
A data input/output unit is provided. The data input/output unit which is connected to a processor, and receives and outputs data in sequence based on a first schedule includes a first input first output (FIFO) memory connected to an external unit and the processor; and a reordering buffer connected to one side of the FIFO memory, and store data outputted from, or inputted to, the FIFO memory in a plurality of buffer regions in sequence, and output data stored in one of the plurality of buffer regions based on a control signal provided from the processor.
Abstract:
Provided is a method of connecting an access point (AP) device from among a plurality of AP devices on a same network to a terminal. The method includes registering, by the AP device, media access control (MAC) address information regarding at least one or more terminals; receiving a connection request to the AP device from the terminal; and comparing the MAC address information regarding the terminal extracted from the connection request to the registered MAC address information and determining whether to connect the terminal to the AP device.