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Deep Learning

Deep learning is inspired by the way the human brain works. It uses artificial neural networks, which are computer models designed to process information in a way similar to the brain.

Neural Networks​

Neural networks are the heart of deep learning. Just like our brain has neurons connected to each other, a neural network has many small units called nodes, connected together. These nodes are placed in layers: an input layer, one or more hidden layers, and an output layer.

Neural network layers

When a neural network is shown many examples, such as data about customers who bought certain products or used certain services, it learns to find patterns by changing the strength of the connections between its nodes. It is similar to the nodes working together and gradually learning what makes different customer groups different.

Once the network learns these patterns from the examples, it can use that learning to analyze new data it has never seen before and make predictions about what a customer might do next.

Deep learning is used in many areas of AI to improve results.

Computer Vision​

Computer vision is a field of artificial intelligence that helps computers understand and interpret digital images and videos. Deep learning has greatly improved this field by making tasks like image classification, object detection, and image segmentation much more accurate and powerful.

Natural Language Processing (NLP)​

Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand and work with human language. Deep learning has made major improvements in NLP, enabling tasks such as text classification, sentiment analysis, machine translation, and language generation.