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Hands-On TensorFlow for Smart Application Development

Video Description

Use TensorFlow to build mobile apps and add features to make your apps smarter

About This Video

  • Use the cutting-edge features of the TensorFlow library to use machine learning models in your applications to improve their performance
  • A practical, fast-paced course accompanied by a hands-on approach to application development. Develop applications for various platforms such as iOS and Android
  • Transform your existing applications, while adding intelligent features to enhance their efficiency, using image recognition, object detection, and more

In Detail

TensorFlow is one of the most popular deep learning frameworks available and can be used for solving real-world applications such as analyzing images, generating data, natural language processing, intelligent chatbots, robotics, and more. This course will allow you to add such features without going deeply into machine learning or deep learning.

This course will show you how to develop smart applications the easy way using the power of TensorFlow and to add intelligent features to make your applications smarter without delving into deep learning. You will begin by setting up the environment required to get started quickly followed by building and deploying your first machine model. Next, you will use TensorFlow Lite, which is well optimized for on-device machine learning. As we proceed further, you’ll get hands-on practice in building applications on different platforms such as iOS and Android. Lastly, you will get some crucial tips on how to make your existing applications smarter.

By the end of the course, you’ll not only be comfortable with using TensorFlow for building applications but will also be able to integrate the power of artificial intelligence in your mobile apps.

All the code and supporting files for this course are available on GitHub at: https://github.com/PacktPublishing/Hands-on-TensorFlow-for-Smart-Application-Development

Downloading the example code for this course: You can download the example code files for all Packt video courses you have purchased from your account at http://www.PacktPub.com. If you purchased this course elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.