Archive | Deep Learning for Computer Vision

Convolutional Neural Networks Taught by Andrew Ng

DeepLearning.AI Convolutional Neural Networks Deep Learning Specialization Course (Review)

Andrew Ng is famous for his Stanford machine learning course provided on Coursera. In 2017, he released a five-part course on deep learning also on Coursera titled “Deep Learning Specialization” that included one module on deep learning for computer vision titled “Convolutional Neural Networks.” This course provides an excellent introduction to deep learning methods for […]

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Programming Computer Vision with Python

8 Books for Getting Started With Computer Vision

Computer vision is a subfield of artificial intelligence concerned with understanding the content of digital images, such as photographs and videos. Deep learning has made impressive inroads on challenging computer vision tasks and makes the promise of further advances. Before diving into the application of deep learning techniques to computer vision, it may be helpful […]

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Example of Image Classification With Localization of Multiple Chairs From VOC 2012

9 Applications of Deep Learning for Computer Vision

The field of computer vision is shifting from statistical methods to deep learning neural network methods. There are still many challenging problems to solve in computer vision. Nevertheless, deep learning methods are achieving state-of-the-art results on some specific problems. It is not just the performance of deep learning models on benchmark problems that is most […]

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