Week 4 - Balt 4364 - Understanding Deep Learning and Neutral Networks


Understanding Deep Learning and Neural Networks


Deep learning is an effective tool which allows computers to learn from data in a manner similar to how humans learn from experience. Although it is a component of machine learning, it is unique in that it can independently identify significant patterns. Because of this, it can be used for tasks like facial recognition, speech comprehension, and language translation.


Neural networks are the foundation of deep learning. These networks, which process information using layers of interconnected "neurons," are modeled after the human brain. Neural networks are used for a variety of applications. While Recurrent Neural Networks (RNNs) manage sequences like text or time-based data, Convolutional Neural Networks (CNNs) perform well with images.

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