Deep Learning Applications – 3 You Should Be Aware Of

When tech industry insiders are discussing what major trends, they anticipate for the next five or ten years, topics like machine learning, artificial intelligence, and deep learning always come up. These terms are often used interchangeably and, while they are all intertwined and connected to each other, they are each unique thing. Forbes offers a helpful description of what exactly deep learning is, “Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. We are seeing tremendous increases in deep learning applications in 2019.


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Similarly, to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time tweaking it a little to improve the outcome. We refer to ‘deep learning’ because the neural networks have various (deep) layers that enable learning. Just about any problem that requires “thought” to figure out is a problem deep learning can learn to solve.” With a better understanding of deep learning established, we can look at what types of deep learning applications will be trending in 2019.

3 Deep Learning Applications You Should Be Aware of in 2019

1. Image Recognition

Another deep learning application is image recognition. Image recognition is probably one of the most common types of deep learning that the average citizen is aware of today. Many applications, such as social media applications, already use facial recognition software to help ‘recognize’ someone in your picture so that you can tag them. Not only can image recognition recognize people and objects in images but it can learn to understand the content and context as well.

2. Digital Marketing

Artificial intelligence tools such as deep learning is having a massive impact on the digital marketing industry. We are already seeing how deep learning is influencing social media advertising on both desktop and mobile application. With deep learning, a company like Facebook can test different audiences, specially select an image that would be most appealing to a particular person, predict which people are most likely to convert, etc. With deep learning, targeted marketing is automated and more accurate than a human could produce.

3. Healthcare

Deep learning and the healthcare industry are going to have a long and complex relationship. This is because deep learning holds tremendous potential for the healthcare industry. Health IT Analytics explains how deep learning and artificial intelligence impacts the healthcare industry, “This multi-layered strategy allows deep learning models to complete classification tasks such as identifying subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlight relationships between symptoms and outcomes within vast quantities of unstructured data…Some of the most promising use cases include innovative patient-facing applications as well as a few surprisingly established strategies for improving the health IT user experience.”

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