Object Localization with TensorFlow from Coursera

Please note that you will need prior programming experience in Python. You will also need familiarity with TensorFlow. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent but want to understand how to use use TensorFlow to solve computer vision tasks like Object Localization.

What's inside

Syllabus

Object Localization with TensorFlow

Welcome to this 2 hour long guided project on creating and training an Object Localization model with TensorFlow. In this guided project, we are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images. Localization, in this context, means the position of the emojis in the images. This means that the network will have one input and two outputs. Think of this task as a simpler version of Object Detection. In Object Detection, we might have multiple objects in the input images, and an object detection model predicts the classes as well as bounding boxes for all of those objects. In Object Localization, we are working with the assumption that there is just one object in any given image, and our CNN model will classify and localize that object. Please note that you will need prior programming experience in Python. You will also need familiarity with TensorFlow. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent but want to understand how to use use TensorFlow to solve computer vision tasks like Object Localization.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on a specific application of TensorFlow to solve real-world computer vision tasks

Introduces a simpler version of object localization, which makes it suitable for beginners in the field

Requires prior programming experience in Python and familiarity with TensorFlow

Reviews summary

Solid intro to tensorflow object localization

Learners say that this course is a solid introduction to object localization with TensorFlow. According to students, it's helpful for beginners, but you'll need some prior knowledge in Python (OOP, TF, Keras, nn programming) to fully engage with the material. Reviews are largely positive, although one student notes the audio quality is not the best.

Course helps ease beginners into object localization.

"It is pretty good for ConvNets beginners"

"If you want to get basics to object localization. Give it a try."

Audio quality is not the best.

"audio quality is not the best"

Assumes some prior Python knowledge.

"you need to have prior knowlege in python(OOP, tf, keras, nn programming)"

Career center

Learners who complete Object Localization with TensorFlow will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers develop, test, and maintain computer vision systems. These systems are used in a variety of applications, including image and video analysis, object recognition, and facial recognition. The Object Localization with TensorFlow course can help you build a foundation in computer vision by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of computer vision tasks, including those used in self-driving cars, medical imaging, and security systems.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. These models are used in a variety of applications, including predictive analytics, natural language processing, and computer vision. The Object Localization with TensorFlow course can help you build a foundation in machine learning by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of machine learning tasks, including those used in healthcare, finance, and manufacturing.

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Data Scientist

Data Scientists use data to solve problems and make predictions. They use a variety of statistical and machine learning techniques to analyze data and develop models. The Object Localization with TensorFlow course can help you build a foundation in data science by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of data science tasks, including those used in marketing, finance, and healthcare.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to build software that meets the needs of users. The Object Localization with TensorFlow course can help you build a foundation in software engineering by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of software engineering tasks, including those used in web development, mobile development, and cloud computing.

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Computer Vision Researcher

Computer Vision Researchers develop new computer vision algorithms and techniques. They use a variety of mathematical and statistical techniques to improve the accuracy and efficiency of computer vision systems. The Object Localization with TensorFlow course can help you build a foundation in computer vision research by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of computer vision research topics, including those used in object recognition, image segmentation, and motion analysis.

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Robotics Engineer

Robotics Engineers design, build, and maintain robots. They use a variety of mechanical, electrical, and computer engineering principles to create robots that can perform a variety of tasks. The Object Localization with TensorFlow course can help you build a foundation in robotics engineering by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of robotics engineering tasks, including those used in manufacturing, healthcare, and space exploration.

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Autonomous Vehicle Engineer

Autonomous Vehicle Engineers design, develop, and test autonomous vehicles. They use a variety of sensors and algorithms to create vehicles that can safely navigate without human input. The Object Localization with TensorFlow course can help you build a foundation in autonomous vehicle engineering by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of autonomous vehicle engineering tasks, including those used in self-driving cars, trucks, and drones.

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Medical Imaging Analyst

Medical Imaging Analysts use medical imaging data to diagnose and treat diseases. They use a variety of image processing and analysis techniques to identify abnormalities in medical images. The Object Localization with TensorFlow course can help you build a foundation in medical imaging analysis by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of medical imaging analysis tasks, including those used in cancer detection, radiology, and pathology.

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Security Analyst

Security Analysts protect computer systems and networks from unauthorized access and attack. They use a variety of security measures to identify and prevent security breaches. The Object Localization with TensorFlow course can help you build a foundation in security analysis by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set can be applied to a variety of security analysis tasks, including those used in intrusion detection, malware analysis, and forensics.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. They use a variety of statistical and data mining techniques to extract meaningful insights from data. The Object Localization with TensorFlow course may help you build a foundation in data analysis by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set may be applied to a variety of data analysis tasks, including those used in marketing, finance, and healthcare.

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Business Analyst

Business Analysts identify and solve business problems. They use a variety of analytical techniques to understand business processes and develop solutions. The Object Localization with TensorFlow course may help you build a foundation in business analysis by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set may be applied to a variety of business analysis tasks, including those used in process improvement, product development, and customer relationship management.

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Product Manager

Product Managers develop and manage products. They work with engineers, designers, and marketers to create products that meet the needs of users. The Object Localization with TensorFlow course may help you build a foundation in product management by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set may be applied to a variety of product management tasks, including those used in product planning, development, and marketing.

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Project Manager

Project Managers plan and execute projects. They work with stakeholders to define project goals and objectives and develop plans to achieve them. The Object Localization with TensorFlow course may help you build a foundation in project management by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set may be applied to a variety of project management tasks, including those used in planning, scheduling, and budgeting.

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Consultant

Consultants provide advice and guidance to businesses and organizations. They use their expertise in a particular field to help clients solve problems and improve performance. The Object Localization with TensorFlow course may help you build a foundation in consulting by teaching you how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set may be applied to a variety of consulting tasks, including those used in strategic planning, organizational development, and financial analysis.

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Teacher

Teachers educate students in a variety of subjects. They develop lesson plans, teach classes, and assess student learning. The Object Localization with TensorFlow course may help you build a foundation in teaching by providing you with an understanding of how to use TensorFlow to create and train a convolutional neural network for object localization. This knowledge and skill set may be applied to a variety of teaching tasks, including those used in lesson planning, classroom management, and assessment.

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