Deep Learning in real life

Deep Learning in real life

Deep Learning is being widely used today, and it is one of the most popular fields of Artificial Intelligence since it can solve a huge number of complex tasks such as:

• Computer Vision: images can train the machine to recognize features, and now the machines are demonstrating “superhuman” accuracy for image recognition. Some examples include image classification, object detection, and segmentation.
• Natural Language Processing: neural networks, especially recurrent ones, have allowed enormous advances in language-related issues. Some examples include text prediction, sentiment analysis, information extraction, translation, text-to-speech, and Question Answering.
• Time Series Analysis: networks with temporary data retention capacity allow predictions and forecasting on financial data, weather, or product prices.
• Content Generation: neural networks are the only ones capable of generating content with acceptable quality to the point that some GANs can even fool humans.
• Recommender Systems: Deep Learning can analyze large amounts of user data and make personalized recommendations, such as suggesting movies or products that a user may be interested in.