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Category: Python ML Scripts

Image Classification with Single Class dataset using VGG-16 Transfer Learning

March 8, 2021 Dr. Info Sec.

Transfer learning generally refers to a process where a model trained on one problem is used in some way on […]

Machine Learning, Python ML Scripts

How to resize all images in the folder using CV2 and Python?

March 8, 2021 Dr. Info Sec.

In this post, I will explain how to read multiple images from a folder, resize them, save them in a […]

Python ML Scripts

How to fine-tune VGG-16 net using Keras on Google Colaboratory?

March 7, 2021March 7, 2021 Dr. Info Sec.

Training deep neural networks on CPUs is difficult. This tutorial will guide you on how to fine-tune VGG-16 net using […]

Machine Learning, Python ML Scripts

How to used Google Colab for Deep Learning using Python?

March 5, 2021March 5, 2021 Dr. Info Sec.

Whether you are a student interested in exploring Machine Learning but struggling to conduct simulations on enormous datasets, or an […]

Machine Learning, Python ML Scripts

How to compute peak signal-to-noise ratio (PSNR) between images using Python?

March 5, 2021March 5, 2021 Dr. Info Sec.

The PSNR block computes the peak signal-to-noise ratio, in decibels, between two images. This ratio is used as a quality […]

Python ML Scripts

How to calculate the Structural Similarity Index (SSIM) between two images with Python?

March 5, 2021March 5, 2021 Dr. Info Sec.

The Structural Similarity Index (SSIM) is a perceptual metric that quantifies the image quality degradation that is caused by processing […]

Machine Learning, Python ML Scripts

Basic Operations on Image using OpenCV2 and Python

March 3, 2021 Dr. Info Sec.

The basic operations performed on the image are: Convert image to NumPy Array Convert/transform OpenCV read image to RGB from […]

Python ML Scripts

All about NumPy in Python

March 3, 2021March 3, 2021 Dr. Info Sec.

What is NumPy? NumPy is a Python library used for working with arrays. It also has functions for working in […]

Python ML Scripts

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