Intelligent Mobile Application Development with TensorFlow
Learn how to develop intelligent mobile applications with TensorFlow and gain the skills to create powerful, efficient, and secure mobile applications that can be used on any device. ▼
ADVERTISEMENT
Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2019-01-17
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 31st, 2023]
What does this course tell?
(Please note that the following overview content is from Alison)
This comprehensive 2-in-1 course is a practical, fast-paced guide to building smart mobile applications by applying Machine Learning features using TensorFlow & TensorFlow Lite. You'll learn to use TensorFlow to build mobile apps and add features to make them smarter, as well as apply Machine Learning models in real-time in mobile devices with TensorFlow Lite. You'll gain practical knowledge by coding TensorFlow models and solve real-life problems such as gesture or voice recognition. By the end of the course, you'll be able to implement AI in your mobile applications with TensorFlow.
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By the end of this course, learners will acquire the skills and knowledge to use TensorFlow to build mobile applications and add features to make them smarter. They will also be able to apply Machine Learning models in real-time in mobile devices with the new and powerful TensorFlow Lite. Learners will gain practical knowledge by coding TensorFlow models and solving real-life problems such as gesture or voice recognition. They will also be able to create efficient Deep Learning models for their mobile apps and deploy TensorFlow models on mobile devices.
lHow does this course contribute to professional growth?
This course contributes to professional growth by providing a comprehensive and practical guide to building smart mobile applications by applying Machine Learning features using TensorFlow & TensorFlow Lite. It covers topics such as building models using pre-built models and scripts, coding TensorFlow models, solving real-life problems such as gesture or voice recognition, creating efficient Deep Learning models for mobile apps, and deploying TensorFlow models on mobile devices. By the end of the course, professionals will have the knowledge and skills to use TensorFlow to build mobile apps and add features to make their apps smarter, as well as the ability to apply Machine Learning models in real-time in mobile devices with the new and powerful TensorFlow Lite.
Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It provides comprehensive training on TensorFlow and TensorFlow Lite, which are two of the most popular deep learning frameworks available. It covers topics such as analyzing images, generating data, natural language processing, intelligent chatbots, robotics, and more. It also provides hands-on practice in building applications on different platforms such as iOS and Android. By the end of the course, students will have learned to implement AI in their mobile applications with TensorFlow.
Course Syllabus
Hands-On TensorFlow for Smart Application Development
Hands-on TensorFlow Lite for Intelligent Mobile Apps
Course Provider
Provider Udemy's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Intelligent Mobile Application Development with TensorFlow