Hands-On TensorFlow for Smart Application Development
.MP4, AVC, 440 kbps, 1920x1080 | English, AAC, 106 kbps, 2 Ch | 1h 17m | 246 MB
Instructor: Saikat Basak
.MP4, AVC, 440 kbps, 1920x1080 | English, AAC, 106 kbps, 2 Ch | 1h 17m | 246 MB
Instructor: Saikat Basak
Use TensorFlow to build mobile apps and add features to make your apps smarter
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.
Style and Approach
Full of hands-on instructions, interesting and illustrative examples, and clear explanations. Easy to understand with practical examples and minimal theory.
What You Will Learn
Easily use machine learning in your applications
Learn the art of building models using pre-built models and scripts
Deploy machine learning models to any general application
Use artificial intelligence in your models
Build your first smart iOS/Android application
Add intelligent features in your existing applications