Deep Learning: Methods, Algorithms, and Applications

Running head: DEEP LEARNING
DEEP LEARNING
Name of the Student
Name of the University
Author’s note:

1DEEP LEARNING
Table of Contents
Literature Review............................................................................................................................2
1. Introduction:............................................................................................................................2
2. Importance of Deep Learning..................................................................................................2
3. Deep Learning Methods..........................................................................................................3
4. Deep Learning Algorithms......................................................................................................3
5. Current Applications of Deep Learning..................................................................................4
6. The Future of Deep Learning..................................................................................................5
7. Conclusion...............................................................................................................................6
8. References................................................................................................................................8

2DEEP LEARNING
Literature Review
1. Introduction:
Deep learning is a kind of machine learning technique that has the capability to teach
computer to perform tasks, which would be naturally performed by humans (LeCun, Bengio and
Hinton 2015). It is also known as hierarchical method of learning or deep structured learning.
The method of deep learning comprises a part of the larger part of the methods of machine
learning. These approaches are mainly based on the representations of learning data as compared
to the task specific algorithms. The learning models of deep learning are lightly related to the
processing of information and the patterns of communication. The technology of deep learning is
a key behind various processes. In deep learning, a model of computer would be able to learn to
do tasks directly with the help of text, images or sound. The models of deep learning could
achieve such levels of accuracy that would exceed the performance of humans. The different
models of deep learning are trained with the use of labeled data and architectures of neural
network that would contain many layers (Schmidhuber 2015).
2. Importance of Deep Learning
The technology of deep learning has achieved accuracy in recognizing at higher levels.
The technology would help to meet the expectations of the consumers. Deep learning works on
the process of machine learning with the help of an artificial neural net, which is mainly
composed of various levels that are arranged in a hierarchical order (Sutskever et al. 2013). The
deep learning technology has gained a wide attraction as it has the potential to be useful in the
applications of the real world. The networks of deep learning could be successfully applied to big
data for the discovery of knowledge, application of the knowledge and predictions based on the
knowledge. Deep learning could be a powerful tool for the production of actionable results. Deep