Deep Neural Network based Image Recognition

Price: $52.00
(as of Dec 24,2024 07:59:29 UTC – Details)

Publisher ‏ : ‎ Scholars’ Press (March 19, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 72 pages
ISBN-10 ‏ : ‎ 6138826825
ISBN-13 ‏ : ‎ 978-6138826828
Item Weight ‏ : ‎ 4.2 ounces
Dimensions ‏ : ‎ 5.91 x 0.17 x 8.66 inches

Deep Neural Network based Image Recognition: A Game-Changer in Computer Vision

In the world of artificial intelligence and computer vision, deep neural networks have revolutionized the way we approach image recognition tasks. These complex networks, inspired by the human brain, have the ability to learn and recognize patterns in vast amounts of data, making them incredibly powerful tools for image analysis.

One of the key advantages of deep neural networks in image recognition is their ability to automatically extract and learn features from raw data. This means that instead of relying on handcrafted features, such as edges or textures, deep neural networks can learn to identify important features on their own, leading to more accurate and robust image recognition systems.

Furthermore, deep neural networks can be trained on large datasets, allowing them to generalize well to new, unseen data. This is crucial for tasks such as object detection, facial recognition, and image classification, where the model needs to be able to accurately identify objects or patterns in a wide range of images.

Overall, deep neural network based image recognition has the potential to revolutionize a wide range of industries, from healthcare to autonomous driving. By harnessing the power of deep learning, we can create more advanced and efficient image recognition systems that will continue to push the boundaries of what is possible in computer vision.
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