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Implementing Vision based Deep Learning Solution Using Open Source Tools

WIA
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Vision Based Deep Learning Open Source Tools Computer Vision Deep Learning TensorFlow Keras Python

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Examines how deep learning is transforming computer vision, which is standard in industry
Introduces deep learning models and algorithms for computer vision
Uses popular open-source and industry-proven tools to tackle real-world challenges
Taught by Neethu Elizabeth Simon, a researcher specializing in computer vision and deep learning
Featured at the 2019 Women in Analytics Conference, indicating the course's relevance to the industry

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Career center

Learners who complete Implementing Vision based Deep Learning Solution Using Open Source Tools will develop knowledge and skills that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineers design and develop computer systems that can interpret and understand images and videos.  They often work on projects involving facial recognition, object detection, and medical imaging. This course would be extremely useful for aspiring Computer Vision Engineers, as it teaches how to implement computer vision solutions using open-source tools.
See salaries and explore the career path for Computer Vision Engineer
Robotics Engineer
Robotics Engineers design, build, and maintain robots.  They often work on projects involving autonomous navigation, object manipulation, and human-robot interaction. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful as well because the course would provide a strong foundation in computer vision, which is a foundational technology for many robotics applications.
See salaries and explore the career path for Robotics Engineer
Machine Learning Engineer
Machine Learning Engineers use their deep knowledge of machine learning models and algorithms to develop computer systems that can learn from data.  They often work closely with Data Scientists, using the results of exploratory data analysis to determine which models and algorithms will be most effective for the task at hand. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful as well because the course would build a strong foundation in implementing computer vision solutions using open-source tools.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems.  They often work on projects involving web development, mobile app development, and data analysis. Implementing Vision Based Deep Learning Solution Using Open Source Tools could be used to build a strong foundation in computer vision and deep learning, which are becoming increasingly important in software development.
See salaries and explore the career path for Software Engineer
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and data analysis to extract insights from data.  They often work on projects involving predictive analytics, customer segmentation, and fraud detection. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Data Scientists because it provides a strong foundation in computer vision, which is a rapidly growing field with many applications in data analysis.
See salaries and explore the career path for Data Scientist
Artificial Intelligence Researcher
Artificial Intelligence Researchers develop new algorithms and techniques for artificial intelligence.  They often work on projects involving machine learning, natural language processing, and computer vision. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring AI Researchers because it provides a strong foundation in computer vision, which is a core technology for many AI applications.
See salaries and explore the career path for Artificial Intelligence Researcher
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics, statistics, and computer science to develop models for financial markets.  They often work on projects involving risk management, portfolio optimization, and trading strategies. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Quantitative Analysts because it provides a strong foundation in computer vision, which can be used to develop models for a variety of financial applications.
See salaries and explore the career path for Quantitative Analyst
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics, statistics, and computer science to solve complex problems in business and industry.  They often work on projects involving supply chain management, logistics, and healthcare operations. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Operations Research Analysts because it provides a strong foundation in computer vision, which can be used to solve problems in a variety of industries.
See salaries and explore the career path for Operations Research Analyst
Information Security Analyst
Information Security Analysts use their knowledge of computer security to protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction.  They often work on projects involving network security, data security, and incident response. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Information Security Analysts because it provides a strong foundation in computer vision, which can be used to develop new security applications.
See salaries and explore the career path for Information Security Analyst
Biomedical Engineer
Biomedical Engineers use their knowledge of engineering and medicine to design and develop medical devices and systems.  They often work on projects involving medical imaging, prosthetics, and tissue engineering. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Biomedical Engineers because it provides a strong foundation in computer vision, which can be used to develop new medical applications.
See salaries and explore the career path for Biomedical Engineer
Aerospace Engineer
Aerospace Engineers design, develop, and maintain aircraft, spacecraft, and other aerospace systems.  They often work on projects involving aerodynamics, propulsion, and structural analysis. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Aerospace Engineers because it provides a strong foundation in computer vision, which can be used to develop new aerospace applications.
See salaries and explore the career path for Aerospace Engineer
Chemical Engineer
Chemical Engineers design, develop, and maintain chemical plants and processes.  They often work on projects involving chemical reactions, mass transfer, and energy transfer. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Chemical Engineers because it provides a strong foundation in computer vision, which can be used to develop new chemical engineering applications.
See salaries and explore the career path for Chemical Engineer
Civil Engineer
Civil Engineers design, develop, and maintain infrastructure projects such as bridges, roads, and buildings.  They often work on projects involving structural engineering, geotechnical engineering, and water resources engineering. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Civil Engineers because it provides a strong foundation in computer vision, which can be used to develop new civil engineering applications.
See salaries and explore the career path for Civil Engineer
Electrical Engineer
Electrical Engineers design, develop, and maintain electrical systems and equipment.  They often work on projects involving power generation, transmission, and distribution. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Electrical Engineers because it provides a strong foundation in computer vision, which can be used to develop new electrical engineering applications.
See salaries and explore the career path for Electrical Engineer
Mechanical Engineer
Mechanical Engineers design, develop, and maintain mechanical systems and machines.  They often work on projects involving robotics, manufacturing, and transportation. Implementing Vision Based Deep Learning Solution Using Open Source Tools may be useful for aspiring Mechanical Engineers because it provides a strong foundation in computer vision, which can be used to develop new mechanical engineering applications.
See salaries and explore the career path for Mechanical Engineer

Reading list

We've selected ten 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 Implementing Vision based Deep Learning Solution Using Open Source Tools.
Cover image
Deep Learning for Autonomous Vehicle Control
Save
Provides a comprehensive overview of deep reinforcement learning. It covers a wide range of topics, from the basics of reinforcement learning to the latest advances in deep reinforcement learning. It valuable resource for both beginners and experienced deep reinforcement learning practitioners.
Deep Learning for Autonomous Vehicle Control:...
Paperback
$$
Cover image
Secrets Of Machine Learning: How It Works And What...
Save
Provides a comprehensive overview of machine learning. It covers a wide range of topics, from supervised learning to unsupervised learning to reinforcement learning. It good choice for learners who want to gain a deep understanding of the field.
Secrets Of Machine Learning: How It Works And What...
Paperback
$$
Secrets of Machine Learning: How It Works and What...
Kindle Edition
$$
Cover image
Statistical Foundations of Actuarial Learning and...
Save
Provides a comprehensive overview of neural networks and deep learning. It covers a wide range of topics, from the basics of neural networks to the latest advances in deep learning. It valuable resource for both beginners and experienced deep learning practitioners.
Statistical Foundations of Actuarial Learning and...
Paperback
$$
Cover image
Deep Learning with Python, Second Edition
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Provides a comprehensive overview of deep learning with Python. It covers a wide range of topics, from neural networks to convolutional neural networks to recurrent neural networks. It valuable resource for both beginners and experienced deep learning practitioners.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$
Cover image
Computer Vision
Save
Provides a comprehensive overview of computer vision algorithms and applications. It covers a wide range of topics, from image processing and feature extraction to object detection and tracking. It good choice for learners who want to gain a deep understanding of the field.
Computer Vision: Algorithms and Applications (Texts...
Hardcover
$$$
Computer Vision: Algorithms and Applications (Texts...
Hardcover
$$$$
Bayesian Modeling of Uncertainty in Low-Level...
Hardcover
$$$
Image Alignment and Stitching: A Tutorial...
Paperback
$$$
Large-Scale Visual Geo-Localization (Advances in...
Hardcover
$$$
(中文) Computer Vision: Algorithms and Applications
Paperback
$$$
Vision Algorithms: Theory and Practice:...
Paperback
$$$
Computer Vision: Algorithms and Applications (Texts...
Kindle Edition
$$$
Computer Vision: Algorithms and Applications (Texts...
Kindle Edition
$$$
Large-Scale Visual Geo-Localization (Advances in...
Kindle Edition
$$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of pattern recognition and machine learning. It covers a wide range of topics, from supervised learning to unsupervised learning to reinforcement learning. It good choice for learners who want to gain a deep understanding of the field.
Deep Learning: Foundations and Concepts
Hardcover
$$$
Cover image
Engineering UAS Applications: Sensor Fusion,...
Save
Provides a comprehensive overview of computer vision. It covers a wide range of topics, from image processing and feature extraction to object detection and tracking. It good choice for learners who want to gain a deep understanding of the field.
Engineering UAS Applications: Sensor Fusion,...
Kindle Edition
$$$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning. It covers a wide range of topics, from neural networks to convolutional neural networks to recurrent neural networks. It valuable resource for both beginners and experienced deep learning practitioners.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
OpenCV 4 with Python Blueprints
Save
Provides a practical introduction to computer vision using the OpenCV library. It covers a wide range of topics, from image processing and feature extraction to object detection and tracking. It good choice for learners who want to gain hands-on experience with OpenCV.
OpenCV 4 with Python Blueprints, Second Edition
Paperback
$$
OpenCV 4 with Python Blueprints: Build creative...
Kindle Edition
$$
Cover image
Python for Data Analysis
Save
Provides a comprehensive overview of Python for data analysis. It covers a wide range of topics, from data manipulation and visualization to machine learning and deep learning. It valuable resource for both beginners and experienced data analysts.
Python for Data Analysis: Data Wrangling with...
Paperback
$$
Python for Data Analysis
Kindle Edition
$$
Python for Data Analysis: Data Wrangling with...
Paperback
$$$

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This course belongs to a collection called Women in Analytics 2019. It's comprised of 19 courses:
  1. The Importance of Ethics in Data Science
  2. Measuring Analytics Maturity: What We Know 5 Years In
  3. Data-driven Product Improvements
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  5. Women in Analytics Speaker Q&A Day 1
  6. Women in Analytics Speaker Q&A Day 2
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  8. Data Science Adoption: Bringing Insights to Business
  9. The Influence of the Chief Data Officer on Enterprise Analytics
  10. Diversity in Analytics
  11. Setting Expectations on Data Science Projects
  12. Implementing Vision based Deep Learning Solution Using Open Source Tools (viewing)
  13. Level Up: Start Contributing to Open Source
  14. Transitioning from Academia to Industry
  15. Enhancing AI in Wearable Devices Using Topological Data Analysis
  16. Using Embeddings to Understand the Variance and Evolution of Data Science Skill Sets
  17. Using Visual Diagnostic Tools to Gain Insight into the Model Selection Process
  18. Data Visualization with Tableau
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Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Examines how deep learning is transforming computer vision, which is standard in industry
Introduces deep learning models and algorithms for computer vision
Uses popular open-source and industry-proven tools to tackle real-world challenges
Taught by Neethu Elizabeth Simon, a researcher specializing in computer vision and deep learning
Featured at the 2019 Women in Analytics Conference, indicating the course's relevance to the industry
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