TensorFlow: Application Development Using TensorFlow: 2-in-1 faq

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3.1
learnersLearners: 64
instructor Instructor: Packt Publishing instructor-icon
duration Duration: duration-icon

This comprehensive 2-in-1 course will teach you how to develop applications using TensorFlow, solving your problems with machine learning and deep learning, promising to give you the skills to build powerful applications, and providing proof with real-world examples and hands-on projects.

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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:

2018-05-24

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 provides a hands-on approach to problem-solving with TensorFlow, an AI platform for building and training neural networks. It covers deep learning and deep reinforcement learning for creating real-world applications, as well as techniques such as reinforcement learning, heuristic searches, neural networks, Computer Vision, OpenAI Gym, and more. Additionally, it covers TensorFlow Lite for deploying models on mobile devices. By the end of the course, users will be able to implement AI in their mobile applications and build intelligent apps with the full potential of Artificial Intelligence. The course is taught by SaikatBasak, a machine learning engineer, and Juan Miguel Valverde Martinez, a Deep Learning Computer Vision and TensorFlow enthusiast.

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 taking this course, students will acquire skills and knowledge in TensorFlow, deep learning, deep reinforcement learning, Artificial Intelligence, heuristic searches, neural networks, Computer Vision, OpenAI Gym, Machine Learning, image, text, and voice recognition, and deploying TensorFlow models on mobile devices. They will also gain practical knowledge by coding TensorFlow models to solve real-life problems, and learn to improve the performance of mobile applications and make them smart.
lHow does this course contribute to professional growth?
This comprehensive 2-in-1 course provides professionals with the opportunity to gain practical knowledge in coding TensorFlow models to solve real-life problems such as gesture or voice recognition. Professionals will also learn to deploy TensorFlow models on mobile devices, allowing them to implement AI in their mobile applications and build intelligent apps by leveraging the full potential of Artificial Intelligence with TensorFlow. This course will help professionals to stay up-to-date with the latest advancements in Artificial Intelligence and TensorFlow, and will contribute to their professional growth.

Is this course suitable for preparing further education?
This comprehensive 2-in-1 course is suitable for preparing further education in Artificial Intelligence and TensorFlow. It provides a hands-on approach to problem-solving, allowing learners to gain practical knowledge by coding TensorFlow models to solve real-life problems such as gesture or voice recognition. The course also covers techniques such as reinforcement learning, heuristic searches, neural networks, Computer Vision, OpenAI Gym and more. Additionally, the course covers application of Machine Learning models in real-time in mobile devices with the new and powerful TensorFlow Lite. By the end of the course, learners will be able to implement AI in their mobile applications as well as build intelligent apps by leveraging the full potential of Artificial Intelligence with TensorFlow.

Course Syllabus

Hands-on Artificial Intelligence with TensorFlow

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 64 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.
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Add your desired course to your cart.
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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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