Deep learning and Its advantage

1. DEEP LEARNING AND ITS ADVANTAGE

2. ABOUT DEEP LEARNING • It is a subfield of machine learning • Concerned with algorithms inspired by the structure and function of the brain called artificial neural networks • Related to information processing and communication patterns in a biological nervous system, such as neural coding • Deep learning algorithms are applied to unsupervised learning tasks

3. ADVANTAGE OF DEEP LEARNING • Generate new features from limited series of features located in the training dataset • It can create features without a human intervention • Allows to use more complex sets of features in comparison with traditional machine learning software. • Reduces the need for feature engineering, one of the most time-consuming parts of machine learning practice.

4. Most Deep Learning systems consist of Neural Networks, while some of them use Decision Trees and other techniques. However, only with NNs Deep Learning is showing it’s most powerful intrinsic property — Feature Learning

5. Deep learning is a particular kind of machine learning that achieves great power and flexibility by learning to represent the world as nested hierarchy of concepts, with each concept defined in relation to simpler concepts, and more abstract representations computed in terms of less abstract ones

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