Intelligent Mobile Application Development with TensorFlow faq

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learnersLearners: 89
instructor Instructor: Packt Publishing instructor-icon
duration Duration: duration-icon

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.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart 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

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faq FAQ for Tensorflow Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 89 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Tensorflow courses and certifications, our extensive collection at azclass.net will help you.

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