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In this article, you will learn about how to recognise the handwritten digits using the tensorflow library.
Face alignment ensures that the center of the face will be equal for all the images in a dataset, making training model successful.
This article explains a step-by-step approach to building a deep learning image classifier model with Keras in R.
In this article we will be learning in depth about the complete guide on Hough Transform and why is it needed?
In this article, you will learn how to build a food image classifier using a library called 'Fastai'. Sounds exciting?
In this article, we will build a face detection algorithm from the image of different angles using Caffe model.
In this article, we will look into JojoGAN and the process of using just one reference style to train and generate sketches
Explore face recognition systems, from traditional algorithms to deep learning, and learn implementation steps, challenges, and use cases.
Discover the Haar Cascade Algorithm for object detection. Learn its implementation in OpenCV, real-time detection and its limitations.
Fast.ai is a Deep Learning framework built on top of PyTorch. We will learn how to do image classification using Fast.ai.
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