Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

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(as of Dec 29,2024 00:26:43 UTC – Details)

ASIN ‏ : ‎ B07R8P84J3
Publisher ‏ : ‎ Apress; 1st ed. edition (April 26, 2019)
Publication date ‏ : ‎ April 26, 2019
Language ‏ : ‎ English
File size ‏ : ‎ 8325 KB
Text-to-Speech ‏ : ‎ Enabled
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 175 pages

Are you interested in learning about computer vision and how it can be applied in real-world scenarios? Look no further than OpenCV, a powerful open-source computer vision library that allows you to work with images and videos.

In this post, we will explore how you can use OpenCV in conjunction with deep learning techniques such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to build sophisticated computer vision applications.

By the end of this post, you will have a solid understanding of how OpenCV can be used to preprocess and manipulate image data, as well as how to train and deploy deep learning models for tasks such as object detection, image classification, and image segmentation.

So, if you’re ready to dive into the exciting world of computer vision and deep learning, stay tuned for our upcoming tutorials on how to get started with OpenCV!
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