Deep Learning with TensorFlow
Learn the fundamentals of deep learning with TensorFlow and gain the skills to build powerful machine learning models with this comprehensive online course. ▼
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Course Feature
Cost:
Free
Provider:
ThaiMOOC
Certificate:
No Information
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from ThaiMOOC platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 31st, 2023]
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?
Through this course, students will acquire knowledge and skills in the use of TensorFlow for deep learning. They will learn the basic concepts of TensorFlow, its main functions, operations, and the execution pipeline. They will also learn how to apply TensorFlow for backpropagation to tune the weights and biases while training neural networks. Additionally, they will gain an understanding of different types of deep architectures such as convolutional networks, recurrent networks, and autoencoders.
lHow does this course contribute to professional growth?
This TensorFlow course provides professionals with the opportunity to gain a comprehensive understanding of deep learning and its applications. Through the course, professionals will learn the fundamentals of TensorFlow, its functions, operations, and execution pipeline. Additionally, they will gain an understanding of how to use TensorFlow for backpropagation, tuning weights and biases, and training neural networks. Furthermore, the course covers different types of deep architectures such as convolutional networks, recurrent networks, and autoencoders. By completing this course, professionals will be able to apply their knowledge to develop solutions with deep learning, which can contribute to their professional growth.
Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It covers the basic concepts of TensorFlow, the main functions, operations, and the execution pipeline. It also covers different types of deep architectures such as convolutional networks, recurrent networks, and autoencoders. This course provides a comprehensive overview of deep learning with TensorFlow, which is essential for further education.
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