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Tag: deep learning

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...
ColonSegNet: A Lightweight Real-Time Colon Segmentation Architecture
Deep Learning

ColonSegNet: A Lightweight Real-Time Colon Segmentation Architecture

Nikhil Tomar24th January 2024
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,...
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...
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...
Types of Machine Learning
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...
DeepLabV3+ ResNet50 Architecture in TensorFlow using Keras
Computer Vision Deep Learning TensorFlow

DeepLabV3+ ResNet50 Architecture in TensorFlow using Keras

Nikhil Tomar12th February 202317th February 2023
https://youtu.be/Ik85ry-Rf1g In today's tutorial, we will be looking at the DeepLabV3+ (ResNet50) architecture implementation in TensorFlow using Keras high-level API. Within this architecture, ResNet50 would be used as the encoder,...
Exploring Bounding Boxes and Different Annotation Formats in Object Detection
Computer Vision

Exploring Bounding Boxes and Different Annotation Formats in Object Detection

Nikhil Tomar10th February 202310th February 2023
Bounding boxes play a critical role in the object detection process, a fundamental task in computer vision. Object detection entails the identification and precise localization of objects within an image....
What is MultiResUNET?
Computer Vision Deep Learning

What is MultiResUNET?

Nikhil Tomar8th February 20238th February 2023
MultiResUNET is an architecture developed by Nabil Ibtehaz et al. for the purpose of multimodal biomedical image segmentation at the Bangladesh University of Engineering and Technology. It is an improvement...

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