Deep Learning is an influential machine learning approach which is used in analyzing huge amount of different kinds of data and it also helps to sort out a varied range of complex hitches.

1. Benefits from Deep Learning AI
for the Mobile Apps
PRIYANKA SHAHI | 2017

2. Agenda
 Deep Learning
 Machine Learning
 Deep Learning AI
 Deep Learning AI in Mobile Devices
 Relation of Deep Learning & Machine Learning
 How developers use AI?
 Conclusion

3. Deep Learning
 Deep Learning aids number of real-world applications of Machine Learning and
by extension the global field of AI.
 Deep Learning will divide tasks in different ways which makes different machine
assistance appear possible.
 Tasks performed by the computers were all dependent on the algorithms
prepared by the developers.

4. Machine Learning
 Machine Learning offers an opportunity of providing learning capabilities with
the same algorithm by learning things on its own.
 The algorithm yields comprehensive result and that’s why only apps with high
quality has to be developed with the technology, else it will provide bad results.
 This unlocks whole outlook of opportunities for all the app developers.

5. Deep Learning AI
 Deep AI is a technology used in big companies namely Google maps, Facebook
and Amazon Web Services.
 Facebook uses mobile app for converting any picture into a classic by using
Picasso or Van Gogh.
 App is grounded on unbiased networks, a form of Artificial Intelligence.

6. Cont.
 App is grounded on unbiased networks, a form of Artificial Intelligence.
 Focus is to follow the movement of growing the quantity of tech firms opting for
Deep Learning as a podium for start-ups.
 Deep Learning AI is different because it learns and adapts to situations which
keeps altering.

7. Cont.
 Data is the key constituent in Deep Learning.
 If there is no quality data, then algorithms will not simplify the given problem
and offer poor result to the actual world.
 There is definitely a great opportunity for mobile developer out there.

8. Deep Learning AI in Mobile Devices
 With two billion devices, all around the world catching various kinds of data,
there is a possibility of creating applications which will provide data of high
quality and could be used for learning purposes.
 This data could be used for multiple purposes like training and learning.
 Deep Learning can be used as the cutting-edge.

9. Relation of Deep Learning AI & Machine
Learning
 Deep Learning focuses more on a subdivision of Machine Learning tools and
techniques and uses to solve problem that needs mere thoughts.
 Deep Learning is positioned around AI. This AI has the ability to learn and adapt
to the any changes in the nearby surroundings.
 Ranges of impartial networks form part of this technology which will work in
parallel to react to allocated inputs.

10. Cont.
 This input data usually differs from GPS location data to the video game screens.
 The output will be to press buttons on game controller.
 Neutral networks are better to give correct reaction to the data, by delivering
result in a better way.

11. How developers use AI?
 AI will be used ultimately by developers so that not only there is a reaction to
user input but also there will be a new software which will forecast user
behavior.
 Now, these inputs might be the user’s GPS location, camera inputs and past
search history.
 Mobile is a great tool and the information which it offers is remarkable like
which way you commute, commute path, visited shops, health data, etc.

12. Cont.
 This all information can be captured only by using a phone.
 Deep Learning networks reacts in a correct manner to the data which is
incoming and will definitely provide better results.
 By each passing data, networks will learn and keep on getting better at offering
appropriate results.

13. Cont.
 The only actual challenge is for developers to interpret the data rapidly and
excellently in order to provide ample value to users.
 Deep Learning also helps developers in building mobile apps which forecasts
behavior of the user instead of depending simple on user inputs to function.
 While mobile phones have proved to be really effective to record data, Deep
Learning helps to use this information efficiently.

14. Conclusion
 Deep Learning is an influential machine learning approach which is used in analyzing
huge amount of different kinds of data and it also helps to sort out a varied range of
complex hitches.
 The ability of deep learning to create features without being explicitly told.
 Over all previous neural nets and other machine-learning algorithms is its capacity to
extrapolate new features from a limited set of features contained in a training set.

15. THANK
YOU!