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Category: Computer Vision

ColonSegNet Implementation In TensorFlow
Computer Vision Deep Learning TensorFlow

ColonSegNet Implementation In TensorFlow

Nikhil Tomar25th January 202416th September 2024
In this article, we will explore the technical intricacies of implementing ColonSegNet in TensorFlow. ColonSegNet is a lightweight, real-time colon segmentation architecture that has garnered attention for its efficiency in...
Step-by-Step Guide to ResNet50 UNET in TensorFlow
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...
What is Conditional DCGAN
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)...
Anime Face Generation with Deep Convolutional GANs (DCGAN)
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...
What is Deep Convolutional Generative Adversarial Networks (DCGANs)
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...
Conditional GAN in TensorFlow
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...
What is a Conditional GAN: Unleashing the Power of Context in Generative Models
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...
Vanilla GAN in TensorFlow
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...
Attention UNET in PyTorch
Computer Vision PyTorch

Attention UNET in PyTorch

Nikhil Tomar27th February 202327th February 2023
In this article, we are going to learn about the Attention UNET and then implement it in the PyTorch framework. Attention UNET is a type of Convolutional Neural Network (CNN)...
Attention UNET and its Implementation in TensorFlow
Computer Vision TensorFlow

Attention UNET and its Implementation in TensorFlow

Nikhil Tomar26th February 202326th February 2023
In the article, we will go through the paper Attention U-Net: Learning Where to Look for the Pancreas. It was written by Ozan Oktay et. al in the year 2018...

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