**What is Deep Learning?**

Deep learning is a subdivision of machine learning, and deep learning algorithms learn a lot of data independently from extreme amounts of information. In the same way, people these algorithms get very smarter experience by collecting and gathering data as well as processing the data.

**How does Deep Learning
work?**

Deep learning networks determining the pattern and structure behind the massive amount of data also, the computational model contains layers which is called the neural networks where the data is processed.

**Neural Networks**

In the neural networks contains three elements first on is input layer second is the hidden layer, and the third is the output layer.

**Input Layer:** In this Layer, we
analyze the data.

**Hidden Layer:** In this Layer,
complete the computation with the deep learning algorithm.

**Output Layer:** In this layer,
have the complete calculated result.

The actual actions happen in the hidden layers, and the calculation performed with the connections also contains the input data. Pre-assigned weight and path defined by an activation function. And the outcome is very far from the expectations because of the importance of the connections recalibrated and analysis rerun. This is complete, and the result is accurate as possible. For example, we are configuring a voice recognition such as Siri and Cortana the weight of the data is adjusted while waiting for gives back precisely and what the speaker says in writing.

**what is the Deep Learning Algorithm Doing?**

The algorithm finds out the information which is similar to another one while getting rid of information that is not relevant. And the layers combine all the information they acknowledged about the data from the preceding layer and define it; this information is relevant and irrelevant. Relevant information sends to the next node, and the unimportant information also discarded the info is undefined. It is a piece of pertinent information.

For Example, Find the cats in pictures with the help of a deep learning algorithm .and insert a cat picture, and the deep learning algorithm analyzes full picture pixel by pixel. Some of the nodes are long green grass and define a long green line. And the next layer received various descriptions as long green lines, and this node will describe the feature as grass and realize this is irrelevant to find the cats and discards it.

**Supervised and
Unsupervised Learning**

In supervised learning, we tell about the computer what the information we set in is, and we get a human input, but the calculation is more efficient. This learning used a large amount of well-organized and well-defined data like the weather.

In the unsupervised learning works with unlabeled information also unsupervised learning makes a prediction on currently available diverse data and finds a pattern in a disconnected environment.

**Deep Learning is Not
Artificial Intelligence**

Deep learning is a branch of AI and extend in further. Artificial intelligence is supposed to be the mock of human consciousness and independent thinking process, and this could perform by a computer node. Deep learning not to think about itself deep learning makes a decision only based on the data and instructions it was fed.

**Why Deep learning is
important**

Deep learning is all around us, and the deep learning algorithm detect our faces when taking a picture and make a predictive analysis of consumer behavior or also quickly identify the fraud. Using the deep learning allows us to turn a tremendous amount of data into insights also increase intelligence in technology. These visions have been used for significant breakthroughs in science, agriculture and medicines, and so many other areas. In combination with the different techniques as IoT, Robotics, and deep learning, easily tackle the major and most significant problems of our world and improve people’s lives.

**Conclusion**

In this article explained the concept of Deep Learning in 7 steps how deep learning work, its algorithm, and its essential. Many peoples have a misconception about deep learning; this is also an Artificial intelligence, but this is a branch of Artificial Intelligence and so many other things clear in these articles.