Image Organization Using Unsupervised Deep Learning - Case Study

Abstract

Now a day's, the intelligent machines were created that works like a human is an artificial intelligence. Intelligent machines were trained with qualities such as, knowledge, reasoning, problem solving, learning, planning etc. These training of machines with various models is machine learning. Sub domain of a machine learning is deep learning method, in which computer models are trained to perform classification tasks directly from pictures, text or voice. Deep learning models can attain high accuracy, may be beyond human performance. Models are trained with large data sets & neural network architecture with several hidden levels. In a supervised deep learning, we tell machine what to do and what not to do using an algorithm. Since we are instructing machine what not to do, the machine is having limitations to solve the problem. To solve this issue, an unsupervised deep learning algorithms are used, which derive insights directly from data and that can be used to make decisions on data.