Archive | Deep Learning for Computer Vision

Example of Displaying a PIL image using the Default Application

How to Load, Convert, and Save Images With the Keras API

The Keras deep learning library provides a sophisticated API for loading, preparing, and augmenting image data. Also included in the API are some undocumented functions that allow you to quickly and easily load, convert, and save image files. These functions can be convenient when getting started on a computer vision deep learning project, allowing you […]

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A Gentle Introduction to the Promise of Deep Learning for Computer Vision

A Gentle Introduction to the Promise of Deep Learning for Computer Vision

The promise of deep learning in the field of computer vision is better performance by models that may require more data but less digital signal processing expertise to train and operate. There is a lot of hype and large claims around deep learning methods, but beyond the hype, deep learning methods are achieving state-of-the-art results […]

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Convolutional Neural Networks Taught by Andrew Ng

DeepLearning.AI Convolutional Neural Networks 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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