Tag: Computer Vision

Adam Optimizer for Deep Learning Optimization

Adam Algorithm for Deep Learning Optimization

In this tutorial, you will learn how to set up small experimentation and compare the Adam optimizer and the SGD optimizer (Stochastic Gradient Descent) optimizers for deep learning optimization. Specifically, you will learn how to use Adam for deep learning optimization. For a successful deep learning project, the optimization algorithm plays a crucial role. Stochastic […] ...

Image Super-Resolution using Deep Learning and PyTorch

Image Super-Resolution using Deep Learning and PyTorch

In this tutorial, you will learn how to get high-resolution images from low-resolution images using deep learning and the PyTorch framework. This post will show you how to carry out image super-resolution using deep learning and PyTorch. In one of my previous articles, I discussed Image Deblurring using Convolutional Neural Networks and Deep Learning. We […] ...

Image Recognition using Histogram of Oriented Gradients (HOG) Descriptor

Image Recognition using Histogram of Oriented Gradients (HOG) Descriptor

In this post, you will learn about the Histogram of Oriented Gradients (HOG) descriptor in the field of computer vision. Along with that, you will also learn how to carry out image recognition using Histogram of Oriented Gradients (HOG) descriptor and Linear SVM. A bit of background… I constantly learn about deep learning and do […] ...