Deep learning algorithms have become a part of our daily lives, at work and at home. Tech Talks brought this topic to us in their article, “How deep learning can help scientific research.”
Where can you find deep learning in your life? Just consider personalized feeds, face and voice recognition, web search, smart speakers, digital assistants, and even email — they all operate with deep learning algorithms.
How effective is deep learning in scientific research, where problems are often much more complex than classifying an image and requirements are much more sensitive than recommending what to buy next? Deep learning is an end-to-end artificial intelligence (AI) model that has the ability to analyze large amounts of data, develop a mathematical representation and perform complex classification and prediction tasks.
Deep neural networks can tackle problems previously solved by other types of machine learning algorithms, such as content recommendation or fraud detection. However, not all situations call for the power of deep learning. A simpler machine learning approach could be more appropriate.
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Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
