The Power of Unsupervised Learning
Deep Learning is a sub-set of machine learning that uses a programmable
neural network which helps the machines for unsupervised learning. There
are numerous layers of algorithms in each layer of the neural network,
which provides different interpretation of the data. Such a network of
algorithms or neural network imitates the function of the human neural
networks present in the brain.
The main advantage of deep learning networks is that they do not
necessarily need structured data or tags to classify the different datasets.
Unlike typical machine learning use cases, deep learning does not need
any supervision. The artificial neural networks using deep learning send
the input through different layers of the network, with each network
hierarchically defining specific features of the data. This is, in a way similar
to how our human brain works to solve problems- by passing queries
through various hierarchies of concepts and related questions to find an
answer. After the data is processed through layers within deep neural
networks, the system finds the appropriate identifiers for classifying the
data.
