TensorFlow Hub: Deep Learning Computer Vision and NLP
Unleash the power of TensorFlow Hub for Computer Vision and NLP! Explore pre-trained models and streamline your deep learning projects with ease. #TensorFlowHub #ComputerVision #NLP #AIInstitute ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2023-04-27
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]
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?
In this course, students will acquire skills and knowledge in the areas of deep learning, computer vision, and natural language processing. They will learn how to use Google TensorFlow and TensorFlow Hub to build complex solutions for business problems. They will gain practical experience in the implementation of projects such as classification of five species of flowers, detection of over 80 different objects, creating new images using style transfer, using GANs to complete missing parts of images, recognition of actions in videos, text polarity classification, and using a question and answer dataset to find similar documents. They will also learn how to use Google Colab online to implement all of these projects step by step.
lHow does this course contribute to professional growth?
This course contributes to professional growth by providing a practical overview of some of the main TensorFlow Hub models that can be applied to the development of Deep Learning projects. Through the course, participants will gain the necessary tools to use TensorFlow Hub to build complex solutions that can be applied to business problems. Participants will also have the opportunity to implement projects such as classification of five species of flowers, detection of over 80 different objects, creating new images using style transfer, recognition of actions in videos, text polarity classification, and audio classification. By the end of the course, participants will have a better understanding of how to use TensorFlow Hub to develop Deep Learning projects.
Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education as it provides a practical overview of some of the main TensorFlow Hub models that can be applied to the development of Deep Learning projects. It covers topics such as classification of five species of flowers, detection of over 80 different objects, creating new images using style transfer, recognition of actions in videos, text polarity classification, and audio classification. The course also provides more than 50 classes and more than 7 hours of videos, which can help students gain a better understanding of the concepts and techniques used in Deep Learning.
Course Syllabus
Introduction
Computer vision
Natural language processing
Extra content 1: Artificial neural networks
Extra content 2: Convolutional neural networks
Final remarks
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