TensorFlow Developer Certificate - Image Classification from Pluralsight

As part of the TensorFlow Developer certification, this course focuses on computer vision. By the end of the course, you will know everything to build computer vision neural networks that can handle complex real-world images using TensorFlow.

Computer vision, especially Image Classification, is one of the most exciting areas of AI and Machine learning with ground-breaking real-world applications. As part of the TensorFlow Developer certification, this course focuses on image classification leveraging the TensorFlow framework. In this course, TensorFlow Developer Certificate - Image Classification, you’ll gain the ability to build, train, evaluate, and tune computer vision neural network models using the TensorFlow framework. First, you’ll explore computer vision and its application and how Convolutional Neural Networks can be built and used for image classification use cases. Next, you’ll discover techniques and TensorFlow components for handling complex and real-world images, such as ImageGenerator and image augmentation. Finally, you’ll learn how to apply transfer learning techniques to improve model performance and extend the binary classification setup to multi-class classification problems. When you’re finished with this course, you’ll have the skills and knowledge of TensorFlow components needed to build computer vision neural works for image classification.

What's inside

Syllabus

Course Overview

Getting Started With Computer Vision

Understanding Convolutional Neural Networks

Dealing with Real-world Images

Applying Transfer Learning

Creating Multi-class Classification Model

Summary

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores TensorFlow, which is standard in the industry for image classification

Taught by Abhishek Kumar, who is recognized for their work in computer vision

Provides learners with hands-on labs and interactive materials

Requires prerequisites that may pose a barrier to taking this course

Suitable for learners who wish to enter the field of computer vision and machine learning

Covers complex real-world images

Teaches multi-class classification problems

Career center

Learners who complete TensorFlow Developer Certificate - Image Classification will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers develop and implement computer vision systems for various applications, such as object detection, image recognition, and medical imaging. This course is highly relevant for aspiring Computer Vision Engineers as it provides a comprehensive understanding of computer vision, including image classification, convolutional neural networks, and image processing techniques. The course also covers practical aspects of dealing with real-world images and applying transfer learning.

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Deep Learning Engineer

Deep Learning Engineers specialize in developing and deploying deep learning models for various applications, including image classification, natural language processing, and speech recognition. This course can help aspiring Deep Learning Engineers build a strong foundation in computer vision and image classification, which are key areas of deep learning. The course covers techniques for handling complex and real-world images, as well as transfer learning techniques to improve model performance.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. This course can help aspiring Machine Learning Engineers build a strong foundation in image classification, which is a fundamental task in computer vision and machine learning. The course covers techniques for handling complex and real-world images, as well as transfer learning techniques to improve model performance.

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Research Scientist

Research Scientists conduct research in various fields, including computer science, engineering, and medicine. This course may be useful for aspiring Research Scientists who are interested in specializing in computer vision or image processing. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful for aspiring Software Engineers who are interested in specializing in computer vision or image processing. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and implement AI systems for a wide range of applications. This course may be useful for aspiring AI Engineers as it provides foundational knowledge in computer vision and image classification, which are essential components of many AI systems. The course covers techniques for handling complex and real-world images, as well as transfer learning techniques to improve model performance.

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Product Manager

Product Managers are responsible for planning, developing, and launching new products. This course may be useful for aspiring Product Managers who are interested in developing products that incorporate computer vision or image processing. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course may be useful for aspiring Data Analysts as it provides a foundational understanding of computer vision and image classification, which are increasingly used in data analysis for image and video analysis.

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Business Analyst

Business Analysts analyze business processes and systems to identify areas for improvement. This course may be useful for aspiring Business Analysts who are interested in using computer vision or image processing to improve business operations. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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Consultant

Consultants provide advice and support to businesses on a variety of topics, including technology, finance, and marketing. This course may be useful for aspiring Consultants who are interested in specializing in computer vision or image processing. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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Data Scientist

Data Scientists combine programming skills with knowledge of mathematics and statistics to extract meaningful insights from data. This course may be useful for aspiring Data Scientists as it provides a foundational understanding of computer vision and image classification, which are key techniques used in data science for image analysis and object recognition.

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Project Manager

Project Managers plan, execute, and close projects. This course may be useful for aspiring Project Managers who are interested in managing projects that involve computer vision or image processing. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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Technical Writer

Technical Writers create documentation and other materials to explain technical concepts to users. This course may be useful for aspiring Technical Writers who are interested in specializing in computer vision or image processing. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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Sales Engineer

Sales Engineers provide technical support to customers and help them choose the right products and services. This course may be useful for aspiring Sales Engineers who are interested in selling products or services that incorporate computer vision or image processing. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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Marketing Manager

Marketing Managers plan and execute marketing campaigns to promote products or services. This course may be useful for aspiring Marketing Managers who are interested in using computer vision or image processing to create marketing campaigns. The course provides a foundational understanding of computer vision and image classification, as well as practical techniques for handling complex and real-world images.

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