Deep Learning Applications Built in a minute Using Python

In the era of gadgets and gizmos, deep learning is the high rated technology in the field of data science.  Fundamentally, deep learning is changing the whole thing around us. However, it is also a myth that only expertise can use the power of deep learning. Anyone can use deep learning applications by gaining little bit of knowledge about it.

If you are looking deep learning concept from outside it may intimidate you and look difficult to understand.  There are various terms such as TensorFlow, Keras, and GPU which scare you. Well, learning of deep learning will take time and strength to monitor; relating them in simple day to day problems is very easy.

.Thus, in this article we will discuss some applications of deep learning algorithms which can be developed less than an hour. Let’s discuss them one by one:

1. Building a Chat Bot: IBM’s product Watson is the great example to show what artificial intelligence can achieve. There are number of stories which reveal that Watson beats human. Watson is a combination of various techniques and deep learning is the major part from it. It comes under learning process of natural language processing. Chatbot is an example which has been built by using Watson application. It provides conversation based service. It interacts with humans and gives answer to their common queries in a timely manner.

Requirements needed:  1. Internet Connection

2. Python 2 or 3
3. Blue mix Account

2. News Aggregator based on Sentimental: It is the fact that everyone wants to hear good news only.  It would be very nice if we filter out all the bad news from the newspaper.With the increasing demands of the natural language processing, we can easily find out which news should be filter out for the readers using sentimental analysis.  We can use this feature using Aylien’s News API.

3. Recommender for Attires: Nowadays people love online shopping. Many people waste a lot of time to choose clothes. It will be very grateful if we could have an artificial agent identify our fondness and recommend us the impeccable outfit. It is possible with the help of deep learning only. There are various deep learning companies which are working on this platform only. Recommendation system is very demanding these days. As the products are increasing it is needed to focus on the particular genre of the clothes instead of wasting time on other genre. Webtunix API can be used for this application. 

Requirements

1. Python 2
2. Connection of Internet for accessing API
3. Generation of Music using Deep Learning: The one of the coolest application of the deep learning is music generation. If it is used in the right way, it will bring great opportunity in the market. Music is symbol of love and harmony. It has designed which our mind catches and makes sense of. These designs of music are trained to the computer and then can be used to generate new rhythms of music. This is the method behind music generation. One of the example of Music Recommendation from Webtunix Music recommendation System.

Requirement

1. Python 2 or 3
2. Correction of Sentence with Deep Learning: In the market various system are available which can detect and correct grammar easily. But it is a very difficult process to correct the grammar. Deep learning concept can be used to make it easier. In this work, an arrangement of forecasting neural network was accomplished on a corpus of grammatically incorrect sentences alongside with its rectified counterpart. The trained model demonstrations favorable consequences for sentence correction. For example:

Input: Malika went to market

Output: Malika went to the market.

In above example input is incorrect but by using deep learning, it can be corrected.

Requirements:

1. Python (2 or 3)

1. GPU

In the crux, it is concluded that deep learning is the most emerging topic these days. These artificial Intelligence services bring revolution in the IT industries.  If you want to improve knowledge then you can read research papers also based on the deep learning concepts. Some people might be familiar with these applications and some might not be. Hence, by using python above mentioned application can be made in a few hours.