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Mat Leonard,
Andrew Paster,
Jennifer Staab,
Luis Serrano,
Juan Delgado,
Juno Lee,
Mike Yi,
Grant Sanderson,
and
Ortal Arel
In the second and final project for this course, you'll build a state-of-the-art image classification application.
Register for this course and see more details by visiting:
OpenCourser.com/course/twsh1m/create
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What's inside
Syllabus
In this project, you'll build a Python application that can train an image classifier on a dataset, then predict new images using the trained model.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by industry recognized instructors with expertise in image classification
Develops core image classification skills relevant to industry and research
Covers latest advancements in image classification techniques
Provides hands-on project experience in building an image classifier
Projects assist learners in developing and strengthening their applied knowledge
Save this course
Save Create Your Own Image Classifier to your list so you can find it easily later:
Save
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Create Your Own Image Classifier with these
activities:
Create a study guide
Show steps
Creating a study guide will help you organize and review the materials from this course.
Show steps
-
Review the course materials
-
Identify the key concepts and techniques
-
Create a study guide that summarizes the material
Practice writing Python code
Show steps
Reviewing Python coding skills will help you in the project by strengthening your foundation in the language.
Browse courses on
Python
Show steps
-
Review basic Python syntax
-
Practice writing simple Python programs
-
Solve coding challenges using Python
Complete coding exercises
Show steps
Completing coding exercises will help you gain proficiency in the techniques used in this course.
Browse courses on
Machine Learning
Show steps
-
Find coding exercises related to image classification
-
Attempt to solve the exercises on your own
-
Review solutions and learn from your mistakes
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss the project with peers
Show steps
Discussing the project with peers will help you understand the concepts and techniques used in image classification.
Show steps
-
Find a study group or online forum
-
Discuss the project requirements and challenges
-
Share ideas and solutions
Follow tutorials on image classification
Show steps
Following tutorials will help you understand the concepts and techniques used in image classification.
Browse courses on
Image Classification
Show steps
-
Find tutorials on image classification using Python
-
Follow the tutorials and complete the exercises
-
Experiment with different parameters and models
Build a simple image classification application
Show steps
Building an application will help you apply the concepts and techniques you learn in this course.
Browse courses on
Image Classification
Show steps
-
Gather the necessary data and resources
-
Implement a simple image classification model
-
Create a user interface for the application
Participate in an image classification competition
Show steps
Participating in a competition will help you test your skills and learn from others.
Browse courses on
Image Classification
Show steps
-
Find an image classification competition
-
Build a model and submit your results
-
Analyze the results and learn from your mistakes
Mentor other students
Show steps
Mentoring others will help you solidify your understanding of the concepts and techniques used in image classification.
Show steps
-
Join a tutoring program or online forum
-
Answer questions and provide guidance to other students
-
Review your own understanding of the concepts
Create a study guide
Show steps
Creating a study guide will help you organize and review the materials from this course.
Show steps
Show steps
Show steps
- Review the course materials
- Identify the key concepts and techniques
- Create a study guide that summarizes the material
Practice writing Python code
Show steps
Reviewing Python coding skills will help you in the project by strengthening your foundation in the language.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review basic Python syntax
- Practice writing simple Python programs
- Solve coding challenges using Python
Complete coding exercises
Show steps
Completing coding exercises will help you gain proficiency in the techniques used in this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find coding exercises related to image classification
- Attempt to solve the exercises on your own
- Review solutions and learn from your mistakes
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss the project with peers
Show steps
Discussing the project with peers will help you understand the concepts and techniques used in image classification.
Show steps
Show steps
Show steps
- Find a study group or online forum
- Discuss the project requirements and challenges
- Share ideas and solutions
Follow tutorials on image classification
Show steps
Following tutorials will help you understand the concepts and techniques used in image classification.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Find tutorials on image classification using Python
- Follow the tutorials and complete the exercises
- Experiment with different parameters and models
Build a simple image classification application
Show steps
Building an application will help you apply the concepts and techniques you learn in this course.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Gather the necessary data and resources
- Implement a simple image classification model
- Create a user interface for the application
Participate in an image classification competition
Show steps
Participating in a competition will help you test your skills and learn from others.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Find an image classification competition
- Build a model and submit your results
- Analyze the results and learn from your mistakes
Mentor other students
Show steps
Mentoring others will help you solidify your understanding of the concepts and techniques used in image classification.
Show steps
Show steps
Show steps
- Join a tutoring program or online forum
- Answer questions and provide guidance to other students
- Review your own understanding of the concepts
Career center
Learners who complete Create Your Own Image Classifier will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers specialize in developing computer systems that can interpret and understand visual data. This course, Create Your Own Image Classifier, provides a comprehensive introduction to image classification techniques, enabling you to build and deploy computer vision applications. Whether you're a Computer Vision Engineer looking to enhance your skills or a software engineer transitioning into this field, this course will provide you with the knowledge and practical experience to succeed.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. This course, Create Your Own Image Classifier, provides a hands-on introduction to image classification, a fundamental aspect of machine learning. By completing this course, you'll gain valuable experience in building and evaluating image classification models, which can enhance your skills as a Machine Learning Engineer and make you more competitive in the job market.
Data Scientist
Data Scientist
Data Scientists leverage advanced analytical techniques and machine learning algorithms to extract insights from data. This course, Create Your Own Image Classifier, delves into the principles of image classification, providing you with practical experience in building and deploying image classification models. Whether you're a Data Scientist specializing in computer vision or looking to expand your skillset in this area, this course can equip you with the knowledge and hands-on experience to excel in the field.
Data Analyst
Data Analyst
Data Analysts play a critical role in collecting, analyzing, and interpreting data to help businesses make informed decisions. This course, Create Your Own Image Classifier, provides a solid foundation in image classification techniques, a valuable skill for Data Analysts who work with visual data. As image classification is becoming increasingly important in industries like healthcare, finance, and manufacturing, taking this course can help you stand out in the job market and advance your career as a Data Analyst.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and maintain AI systems. This course, Create Your Own Image Classifier, provides a solid foundation in image classification, a key component of many AI applications. By completing this course, you'll gain practical experience in building and evaluating image classification models, which will enhance your skills as an AI Engineer and increase your competitiveness in the job market.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course, Create Your Own Image Classifier, provides valuable experience in image classification, an increasingly important aspect of software development. By completing this course, you'll gain skills in building and deploying image classification models, which can make you a more well-rounded and competitive Software Engineer in the job market.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, develop, and maintain robots. This course, Create Your Own Image Classifier, provides valuable experience in image classification, an essential skill for robots that interact with the visual world. By completing this course, you'll gain the knowledge and hands-on experience needed to build and deploy image classification models for robotics applications, making you a more competitive Robotics Engineer in the job market.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course, Create Your Own Image Classifier, provides valuable experience in image classification, a skill that can be beneficial for Data Engineers working with visual data. By completing this course, you'll gain the knowledge and hands-on experience needed to build and deploy image classification models, making you a more well-rounded Data Engineer.
Product Manager
Product Manager
Product Managers are responsible for the development and management of products. This course, Create Your Own Image Classifier, provides valuable experience in image classification, a skill that can be beneficial for Product Managers working on products that involve visual content. By completing this course, you'll gain the knowledge and hands-on experience needed to understand the capabilities and limitations of image classification models, which can make you a more effective Product Manager.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate user interfaces. This course, Create Your Own Image Classifier, provides valuable experience in image classification, a skill that can be beneficial for User Experience Designers working on products that involve visual content. By completing this course, you'll gain the knowledge and hands-on experience needed to understand the capabilities and limitations of image classification models, which can make you a more effective User Experience Designer.
Project Manager
Project Manager
Project Managers plan, organize, and manage projects. This course, Create Your Own Image Classifier, may be useful for Project Managers working on projects that involve image classification. By completing this course, you'll gain the knowledge and hands-on experience needed to understand the capabilities and limitations of image classification models, which can make you a more effective Project Manager.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to improve business processes. This course, Create Your Own Image Classifier, may be useful for Business Analysts working on projects that involve visual data. By completing this course, you'll gain the knowledge and hands-on experience needed to understand the capabilities and limitations of image classification models, which can make you a more effective Business Analyst.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. This course, Create Your Own Image Classifier, may be useful for Technical Writers who need to document image classification systems. By completing this course, you'll gain the knowledge and hands-on experience needed to understand the capabilities and limitations of image classification models, which can make you a more effective Technical Writer.
Sales Manager
Sales Manager
Sales Managers lead and manage sales teams. This course, Create Your Own Image Classifier, may be useful for Sales Managers who need to use image classification for sales purposes. By completing this course, you'll gain the knowledge and hands-on experience needed to understand the capabilities and limitations of image classification models, which can make you a more effective Sales Manager.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. This course, Create Your Own Image Classifier, may be useful for Marketing Managers who need to use image classification for marketing purposes. By completing this course, you'll gain the knowledge and hands-on experience needed to understand the capabilities and limitations of image classification models, which can make you a more effective Marketing Manager.
For more career information including salaries, visit:
OpenCourser.com/course/twsh1m/create
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Create Your Own Image Classifier.
Provides a hands-on guide to deep learning using Python. It covers topics such as image classification, object detection, and image segmentation. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive overview of deep learning for computer vision, covering topics such as image classification, object detection, and image segmentation. It valuable resource for anyone looking to learn more about this field.
Provides a collection of recipes for using TensorFlow 2.0. It covers topics such as image classification, object detection, and image segmentation. It useful reference for anyone working in this field.
Provides a theoretical foundation for pattern recognition and machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone looking to learn more about this field.
Provides a mathematical foundation for machine learning. It covers topics such as linear algebra, calculus, and probability. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive introduction to probability and random processes. It covers topics such as probability distributions, random variables, and stochastic processes. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive overview of information theory, inference, and learning algorithms. It covers topics such as entropy, mutual information, and Bayesian inference. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive introduction to convex optimization. It covers topics such as linear programming, quadratic programming, and semidefinite programming. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive introduction to numerical optimization. It covers topics such as unconstrained optimization, constrained optimization, and nonlinear optimization. It valuable resource for anyone looking to learn more about this field.
Provides a probabilistic perspective on machine learning. It covers topics such as Bayesian inference, graphical models, and reinforcement learning. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive introduction to Gaussian processes for machine learning. It covers topics such as kernel functions, Bayesian inference, and applications to machine learning. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive introduction to reinforcement learning. It covers topics such as Markov decision processes, value iteration, and policy gradient methods. It valuable resource for anyone looking to learn more about this field.
Save
Provides a thorough introduction to computer vision algorithms and applications. It covers topics such as image formation, feature extraction, object recognition, and image segmentation. It useful reference for anyone working in this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/twsh1m/create
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Time
66240 hours
Level
Introductory
Via
Udacity
Instructors
Mat Leonard
Andrew Paster
Jennifer Staab
Luis Serrano
Juan Delgado
Juno Lee
Mike Yi
Grant Sanderson
Ortal Arel
Language
English
Good to know
Taught by industry recognized instructors with expertise in image classification
Develops core image classification skills relevant to industry and research
Covers latest advancements in image classification techniques
Provides hands-on project experience in building an image classifier
Projects assist learners in developing and strengthening their applied knowledge
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