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You're reading from  Computer Vision Projects with OpenCV and Python 3

Product typeBook
Published inDec 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789954555
Edition1st Edition
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Matthew Rever
Matthew Rever
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Matthew Rever

Matthew Rever received his PhD. in electrical engineering from the University of Michigan, Ann Arbor. His career revolves around image processing, computer vision, and machine learning for scientific research applications. He started programming in C++, a language he still uses today, over 20 years ago, and has also used Matlab and most heavily Python in the past few years, using OpenCV, SciPy, scikit-learn, TensorFlow, and PyTorch. He believes it is important to stay up to date on the latest tools to be as productive as possible. Dr. Rever is the author of Packt's Computer Vision Projects with Python 3 and Advanced Computer Vision Projects.
Read more about Matthew Rever

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Evaluating the results

After we finished training, as we can see from the following screenshot, we get a result of over 99%, so that is significantly better than what we got with softmax or our SVM:

Deep learning is probably the most powerful machine learning technique, due to its ability to learn very complex pattern recognition. It's just dominating everything else for advanced computer vision, speech processing, and more—stuff that conventional machine learning techniques haven't been all that successful at. However, that doesn't necessarily mean that you want to use deep learning for everything. Deep learning generally acquires a large number of examples—many thousands, if not millions sometimes—and it can also be very computationally expensive. So, it's not always the best solution, although it is very powerful, as we have seen right...

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Computer Vision Projects with OpenCV and Python 3
Published in: Dec 2018Publisher: PacktISBN-13: 9781789954555

Author (1)

author image
Matthew Rever

Matthew Rever received his PhD. in electrical engineering from the University of Michigan, Ann Arbor. His career revolves around image processing, computer vision, and machine learning for scientific research applications. He started programming in C++, a language he still uses today, over 20 years ago, and has also used Matlab and most heavily Python in the past few years, using OpenCV, SciPy, scikit-learn, TensorFlow, and PyTorch. He believes it is important to stay up to date on the latest tools to be as productive as possible. Dr. Rever is the author of Packt's Computer Vision Projects with Python 3 and Advanced Computer Vision Projects.
Read more about Matthew Rever