The Pros And Cons Of Deep Learning
eWeek, Wednesday, August 2,2023
Deep learning is an advanced type of artificial intelligence that uses neural networks and complex algorithms to process big data and produce detailed and contextualized outputs, simulating the ways in which human brains process and share information.
This type of artificial intelligence is the foundation for a number of emerging technologies, but despite its many advantages, it also brings forth distinct disadvantages that users need to be aware of.
A quick summary: There are both pros and cons to the practice of deep learning. As far as pros go: users can benefit from a machine learning solution that is highly scalable, automated, hands-off, and capable of producing state-of-the-art AI models, such as large language models. However, the cons are also significant: Deep learning is expensive, consumes massive amounts of power, and creates both ethical and security concerns through its lack of transparency.