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In the ever-evolving landscape of computer vision and medical imaging, achieving real-time performance in segmentation tasks is crucial. ColonSegNet, a novel encoder-decoder architecture, has emerged as a beacon of efficiency,...

Computer Vision Deep Learning TensorFlow

Step-by-Step Guide to ResNet50 UNET in TensorFlow

Nikhil Tomar21st January 202421st January 2024

Semantic segmentation, a crucial task in computer vision, plays a pivotal role in various applications such as medical image analysis, autonomous driving, and object recognition. In this tutorial, we will...

Computer Vision Deep Learning

What is Conditional DCGAN

Nikhil Tomar17th January 202417th January 2024

Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence by introducing a powerful framework for generating realistic data. Among various GAN architectures, Deep Convolutional Generative Adversarial Networks (DCGANs)...

Computer Vision TensorFlow

Anime Face Generation with Deep Convolutional GANs (DCGAN)

Nikhil Tomar12th January 202412th January 2024

Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence, enabling the creation of realistic images from scratch. In this tutorial, we'll dive into the implementation of a Deep...

Computer Vision Deep Learning

What is Deep Convolutional Generative Adversarial Networks (DCGANs)

Nikhil Tomar10th January 202410th January 2024

In the realm of generative models, the emergence of Deep Convolutional Generative Adversarial Networks (DCGAN) has marked a significant breakthrough. DCGAN represent an evolution of the traditional Generative Adversarial Networks...

Computer Vision Deep Learning

Conditional GAN in TensorFlow

Nikhil Tomar18th August 202318th August 2023

In this tutorial, we will implement the Conditional GAN (Generative Adversarial Network) in TensorFlow using Keras API. For this purpose, we will use the Shoe vs Sandal vs Boot Image...

Computer Vision Deep Learning

What is a Conditional GAN: Unleashing the Power of Context in Generative Models

Nikhil Tomar17th August 202317th August 2023

In the rapidly evolving landscape of artificial intelligence and machine learning, Generative Adversarial Networks (GANs) have emerged as a revolutionary approach to generating data that mimics real-world distributions. One intriguing...

Computer Vision Deep Learning TensorFlow

Vanilla GAN in TensorFlow

Nikhil Tomar14th August 202315th August 2023

This tutorial will teach you how to implement basic Generative Adversarial Networks (GANs) in TensorFlow using Keras API. For this purpose, we will utilize the Anime Face Dataset and try...

Mastering k-Nearest Neighbor Algorithm in R

Nikhil Tomar9th July 20239th July 2023

The field of machine learning is thriving with a plethora of algorithms that can be used to solve a wide range of problems. One such algorithm is the k-Nearest Neighbor...

Artificial Intelligence

Types of Machine Learning

Nikhil Tomar5th May 20235th May 2023

Artificial Intelligence (AI) has become an indispensable aspect of modern technology, primarily due to the learning capabilities of AI algorithms from a dataset. This has led to the growth of...