Deep learning

Deep learning is an education technique which is becoming increasingly popular in the recent years.

In deep learning, the teacher collects a huge set of quizzes which are then given to the students to solve. The students get through an enourmous number of questions and through the repetitive process, the students learn to solve the quizzes.

One method of deep learning is done with a teacher. The teacher grades each quiz that a student does. The students improve their ability through redoing quizzes they have failed to do well in. This method has seen the most success in classrooms where the quizzes have definite answers such as in biology.

The other type of deep learning is done without a teacher. The teacher doesn’t tell the students what the right answer is, encouraging discussion between the students. This method allows students to learn better in actual exams as they’re more adapted to think and solve unseen quizzes. This is also very cost effective as no teachers are required to be present.

Convolutional deep learning and adversial learning are other common techniques. The convolutional technique convolutes the entire class to join the discussion, allowing rapid learning for difficult quizzes. Adversial learning lets a pair of students compete against each other. Given a set of quizzes, one student attempts to solve the quiz and the other checks the answer. Points are given when they manage to solve a quiz and correct an answer respectively.

I heard that students who were taught in private schools where they employ deep learning, perform up to 50% better in the workforce.

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