Neural network accelerator with improved learning performance and operation method thereof

An operation method of a neural network accelerator that performs a learning operation for a neural network and includes an embedding table, the operation method comprising:

• performing a current learning step for learning the embedding table by using i-th batch data of learning data;
• and
• performing a next learning step for learning the embedding table by using (i+1)-th batch data of the learning data,
• wherein the current learning step includes:
• performing a first embedding operation using an embedding entry of the embedding table that is required for the current learning step;
• and
• performing a second embedding operation using an embedding entry of the embedding table that is required for the next learning step and is not affected by the current learning step, and
• wherein i is a natural number.