Deep learning is a field of artificial intelligence that is inspired by mimicking the structure of the human brain - business artificial neural networks. As a subfield of machine learning that utilises muti-layered algorithms to learn from huge datasets, deep learning works without the typical linear approach of many other machine learning algorithms.
This field is growing at a rapid pace, driving demand for huge datasets and powerful computers capable of processing them. Deep learning is suited to modelling complex and hierarchical data and is frequently used now for computer vision problems like facial recognition.
The advantages of deep learning for complex problems largely come from the algorithm's capability to extract features from the data with no human input - meaning it can be very successful as an unsupervised learning technique. The trade off here is called the 'black box' problem - it may be virtually impossible for a human to understand the logic of how deep learning algorithms make their decisions.
The proliferation of deep learning investment by the tech giants has opened up new opportunities for leveraging pre-trained models on world leading datasets, for example Google's Cloud Vision can be accessed via API for image classification, text extraction and object detection.
Talk to Wallace Corporation today and see how deep learning can be applied in your business.
Like Machine Learning, Deep Learning is very powerful and can help to automate systems and reduce human resources required for completing certain tasks. Any sort of image recognition task is a great application of Deep Learning.
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