FIG. 3B is a second diagram illustrating the example of the process of learning a distributed representation according to the embodiment;
FIG. 3C is a third diagram illustrating the example of the process of learning a distributed representation according to the embodiment;
FIG. 4 is a diagram illustrating an example of a process of adjusting a parameter according to the embodiment;
FIG. 5 is a diagram illustrating an example of a process of learning a distributed representation using the adjusted parameter according to the embodiment;
FIG. 6 is a diagram illustrating an example of a flowchart of a learning process according to the embodiment;
FIG. 7 is a diagram illustrating an example of a hardware configuration of the information processing device;
FIG. 8 is a diagram illustrating the Skip-gram model of Word2Vec; and
FIG. 9 is a diagram illustrating an example of vector mapping to be executed between tasks using distributed representations of words.
DESCRIPTION OF EMBODIMENTS
Hereinafter, an embodiment of a learning program disclosed herein, an information processing device disclosed herein, a learning method disclosed herein is described in detail with reference to accompanying drawings. The present disclosure is not limited by the embodiment.
Embodiment
