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I can provide a general overview of some popular libraries that are commonly used in the field of data science and machine learning. 1. NumPy I have discussed it in my other blog so i wil not go in detail, please check…
NumPy is a powerful and flexible Python library that is used for scientific computing and data analysis. It provides a wide range of functions and tools that allow you to work with large, multi-dimensional arrays and matrices of numerical data,…
Excel in 2024 — Nah! Let’s learn and use Pandas Library in Python! Pandas is a powerful open-source data manipulation and analysis library for Python. It is widely used for cleaning, aggregating, and transforming data, and is an essential tool…
Few year ago, when I started I was completely lost as my domin was not realted to any thing related to programming.I know it is very basic information that I am writing here, but it may be really usefull for…
The GAN model works by having the generator try to create realistic images that the discriminator cannot distinguish from real images. The discriminator, on the other hand, tries to accurately classify the images as real or fake. The two models…
In this Section before entering in GAN Structure I would like to talk about Loss function widely used for GANs Architecture. Generative Adversarial Networks (GANs) are a type of deep learning model designed to generate synthetic data that is similar…
Generative adversarial networks (GANs) are a type of deep learning model that are becoming increasingly popular in the field of artificial intelligence. They are known for their versatility and are being applied in a range of industries, from medicine to art.…