Deep Learning for Vision Systems

Price: $49.99
(as of Dec 15,2024 17:07:00 UTC – Details)

Publisher ‏ : ‎ Manning; 1st edition (November 10, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 480 pages
ISBN-10 ‏ : ‎ 1617296198
ISBN-13 ‏ : ‎ 978-1617296192
Item Weight ‏ : ‎ 1.7 pounds
Dimensions ‏ : ‎ 7.38 x 1.2 x 9.25 inches

Deep learning has revolutionized the field of computer vision, allowing machines to interpret and understand visual data with incredible accuracy. Vision systems powered by deep learning algorithms have been able to achieve remarkable feats, such as image recognition, object detection, and even facial recognition.

By using neural networks to mimic the human brain’s ability to process visual information, deep learning models can analyze complex patterns and make predictions based on large datasets. These models can learn from vast amounts of labeled images, allowing them to recognize objects, scenes, and even emotions with high precision.

With the advancement of deep learning techniques such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), vision systems have become more sophisticated and capable than ever before. These systems can now be applied to a wide range of industries, from autonomous vehicles to medical imaging to security surveillance.

In conclusion, deep learning for vision systems holds immense potential for transforming how we interact with visual data. As researchers and engineers continue to push the boundaries of artificial intelligence, we can expect to see even more impressive applications of deep learning in the field of computer vision.
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