Top 5 Current Trends of Deep Learning that You Should Know

Check out these latest trends if deep learning technology to optimize your business processes.

Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making.

Deep learning algorithms attempt to draw similar conclusions as humans would by continually analysing data with a given logical structure. To achieve this, deep learning uses a multi-layered structure of algorithms called neural networks. The design of the neural network is based on the structure of the human brain. Just as we use our brains to identify patterns and classify different types of information, neural networks can be taught to perform the same tasks on data. The individual layers of neural networks can also be thought of as a sort of filter that works from gross to subtle, increasing the likelihood of detecting and outputting a correct result. The human brain works similarly. Whenever we receive new information, the brain tries to compare it with known objects. The same concept is also used by deep neural networks.

Latest Trends

CNN-based deep learning models have seen extreme popularity in computer vision tasks such as classifying images, detecting objects, or recognizing faces.

The novel analytic hierarchy process (AHP) based on the grey relational analysis (GRA) can be an efficient way to recede the unnecessary factors and parameters in deep-learning models.

Deep-learning models are being trained to deal with time-series problems.

Deep learning framework and convolutional neural network (CNN) methods are integrated to build the Chinese ink style painting creation model and image semantic segmentation, separately.

The new deep learning copes better with the noisy input.