TensorFlow: Application Development Using TensorFlow: 2-in-1
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
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start 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
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