Image Classification with Single Class dataset using VGG-16 Transfer Learning
Transfer learning generally refers to a process where a model trained on one problem is used in some way on […]
Transfer learning generally refers to a process where a model trained on one problem is used in some way on […]
In this post, I will explain how to read multiple images from a folder, resize them, save them in a […]
Training deep neural networks on CPUs is difficult. This tutorial will guide you on how to fine-tune VGG-16 net using […]
Whether you are a student interested in exploring Machine Learning but struggling to conduct simulations on enormous datasets, or an […]
The PSNR block computes the peak signal-to-noise ratio, in decibels, between two images. This ratio is used as a quality […]
The Structural Similarity Index (SSIM) is a perceptual metric that quantifies the image quality degradation that is caused by processing […]
The basic operations performed on the image are: Convert image to NumPy Array Convert/transform OpenCV read image to RGB from […]
What is NumPy? NumPy is a Python library used for working with arrays. It also has functions for working in […]