先日、deep learningのサービスについて会話をしていたら、私が”machine learning”と言ったら、それは「machine learning ではなくdeep learning」と突っ込まれた。ということで、deep learning と machine learningの違いについて。
Deep learning is a further development of machine learning. The major difference from conventional machine learning is that the framework used to analyze information and data is different. This is a “neural network” created by imitating human nerves, making computer analysis and learning of data powerful.
Although there are AI mechanisms for “machine learning” and “deep learning”, it can be said that there is a difference that automation of functional enhancement is being promoted. In particular, it can be said that the system is evolving in that it automatically finds out where to look for when distinguishing the object of analysis.
