In today’s omnichannel, highly digitized paradigm, where user expectations are rising with each passing day, the requirement of intelligent apps has become the need of the hour. Thanks to the technological advancements, machine learning, and deep learning techniques — they have laid the foundation for tomorrow’s intelligent apps.
In this blog, we will through some light upon the TensorFlow, Google's machine learning framework and its use cases in the mobile app development world.
Get Acquainted with TensorFlowThe concept of TensorFlow was given birth by the Google Brain team and it was named as DistBelief, built in 2011, whose foundation was laid on deep learning neural networks.
After its upgradation in 2015, its name changed to TensorFlow — an end-to-end open source platform that combined machine learning with deep structured learning models and algorithms, making use of them through a common symbol.
TensorFlow makes use of Python and many other programming languages ranging from R to Swift to JavaScript for development of mobile and web apps, thereby providing front-end API for further execution of the apps in C++.
The latest version of TensorFlow — 1.7.0, is designed with a focus on deep learning and moreover, to easily optimize, understand, and debug TensorFlow programs, the creators provided TensorBoard — a suite of visualization tools, paving the way for the developers to plot quantitative metrics on the graph and display additional data, such as images to pass through it.
The Use Cases of TensorFlow
Primarily used for understanding, prediction, classification, and creation, TensorFlow is an open source AI library that makes use of data flow graphs for the development of models.
Following are the use cases of TensorFlow:
- Sound or voice recognition
One of the most common uses of TensorFlow is in sound-based apps. If the data is appropriately fed, the app becomes capable to capture various audio signals, as mentioned below:
|
Audio Signals |
Purpose |
|
Voice Recognition |
Its main application is in UX/UI, IoT, and automotive industry |
|
Voice search |
Find its usage in telecom or mobile industry |
|
Sentiment analysis |
CRM makes the most use of it |
|
Flaw detection (engine noise) |
It gets perfectly fit in the automotive and aviation industry |
Android's Google Now, Siri for Apple, and Microsoft's Cortana are popular used cases. Another use of voice recognition is identifying languages.
- Time series
The time series algorithm of TensorFlow allows forecasting non-specific time period and helps in the generation of alternative versions.
The common use is ‘recommendation.’ Big giants like Amazon, Facebook, and Netflix utilize this robust algorithm to analyze customer inter-activities for making a comparison with other users, thereby helping the target customers in their buying journey.
The recommendations get evolved with time. For instance, recommending movies and TV shows on Netflix that a user may enjoy.
Accounting, security, IoT, finance, etc are some other fields that make use of it.
A Long Way Forward for TensorFlow and Machine Learning
Machine learning is on a continuous rise and has affected the ways we use mobile devices. Developing apps related to healthcare, social media sentiment mining, etc has been the way of the future. TensorFlow, Google's open source library, which caters to large-scale machine learning calculations has a bright future and is here to stay.
TensorFlow is the widely used library for building apps like Google Translate, Google Photos, and Google Search, it is the tool that has paved the way for the machine learning and artificial intelligence to extend far beyond their reach.
With millions of apps looking to capture the precise market in diverse niches, the major question is “How to find success?”.
As smartphones and tablets are reaching every corner of the globe by overtaking laptops and computers, it is key to capture this rising market to be successful in the long run.
Before outlining the important features, design, platform, and other key factors, ensure to study the necessities and pain points of your target customers.
But it is important to focus on the core idea of the app and move it on the path of success by resolving user issues before adding any extra features in the app.
This will guarantee that when the app is released in the market, it will be pleasing for users to solve the main issue.Make sure your app is beneficial to the specific user: You may have developed an exciting app with the best design, but if it does not meet the USP’s then it will not head towards success.
But with a focus on major parameters of every USP’s such as pricing, marketing, etc you can be assured to be different in the market and solve the user problem.Build a robust app monetization strategy: Irrespective of how thrilling your app design, it is of no use if you do not have a strong monetization strategy.
5G technology will bring the change in mobile app development.
The app processing and performance would be faster and developers add more features in mobile apps.
Appcode Technologies is the best mobile app development company in India.
Are you finding yourself wondering ‘I have an idea for an app’ too frequently lately, or, think ‘How to start an app’ might be a question you would love to explore?
Either way, this article is your silver bullet!
In the year 2020, the strategies one uses to grow their business and advertise is a lot different from years past.
Although these venues are still being utilized today (especially the internet), the newcomer in this regard is without a doubt - mobile applications.Mobile applications have quickly become a must-have for any business venture - no matter how big or small.
The reason behind this explosion is simple - mobile applications provide numerous advantages to entrepreneurs.
Advantages of a mobile application for your businessConnecting On A Personal LevelMobile app development enables you to directly communicate with your customers on a personal level.
This is an unprecedented sales tactic that was previously impossible to achieve.
Their age, demographic, race, individual preferences etc, all can help get a clearer idea on who their customer base is.
Many of us are walking around with some kind of mobile device on us, whether it’s an old flip phone or an iPhone 6S Plus.
There are over two million apps available on both the iOS App Store and Google Play Store, which means there are plenty of options to choose from when you’re deciding what your next mobile app should be.1) What Problem Will Your App Solve?Your first step should be to try and understand what problem your app will solve.
Do you want to save time?
Are there already similar apps in existence?
Use these ideas to help you refine your app before investing too much time and money into it.3) Is It Scalable?Starting a mobile app is great.
However, keep in mind that even if your app idea is incredible and everyone loves it (and that’s a lot of ifs), if you don’t build it with scalability in mind, you might want to look at another option.
