Deep Learning

Deep learning or deep structured learning is a subfield under machine learning and is based on artificial neural networks. This learning can be supervised, unsupervised, or semi-supervised. The word ‘deep’ in deep learning means the use of multiple layers in the network. It is because a single algorithm cannot be a universal classifier.

It uses brain simulations to make revolutionary changes or advancements in the field of artificial intelligence and machine learning. It has become a preferred career option for a lot of students and academic advisors navigate the students based on their interests.

One can apply this in various fields like computer vision, speech recognition, natural language processing, machine translation, material inspection, etc. In some cases, the results were just the same as human experts, whereas, in some cases, it has surpassed the human experts. It is a form of machine learning that helps detect fraud, money laundering, among others. Various online teaching platforms provide deep learning courses.

This approach is used in various industries in different types of tasks. E.g., in commercial apps for image recognition, in medical tools to explore if the drug can be reused for various other ailments, etc. It helps in reducing the work of humans and completes the work faster.

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