Deep learning is a machine learning technique inspired by the structure and function of the human brain. The brain is composed of neurons (brain cells) that are connected. When we learn, the strength of those connections changes. Deep learning is a simplified network of neurons, which is organized into functional layers. Based on the structure (architecture) of the deep neural network, data is gradually processed through the layers to complete the task and potentially improve over time.
Why does it matter?
It’s become the most popular machine learning technique because it simply works. From image recognition to text analysis, deep learning is finding successful applications in almost every industry. For instance, in the automotive industry, product innovations such as self-driving cars, parking, and lane-change assist or safety functions, such as autonomous emergency braking, are powered by deep learning algorithms. Google uses deep learning to power some of the applications we use every day like search, maps, or translation.
How to succeed?
The downside of deep learning is its computational complexity. To achieve the desired results, you cannot treat deep learning as your typical software project. Gauss algorithmic has developed machine and deep learning solutions in more than 10 industries. We can successfully guide you through the R&D process and help your company make the most of the latest advancements in deep learning.