Deep Learning Archives - Page 3 of 6

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

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...

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,...

Computer Vision Deep Learning TensorFlow

Image Segmentation-based Background Removal in TensorFlow

Nikhil Tomar11th February 202311th February 2023

Image segmentation is an important area of computer vision that involves dividing an image into multiple segments, each of which corresponds to a different object. Background removal is one of...

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...

Computer Vision Deep Learning TensorFlow

Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow

Nikhil Tomar6th February 20236th February 2023

In recent years, advances in machine learning and deep learning techniques have revolutionized the field of computer vision. With the help of these techniques, we can now detect and identify...

Deep Learning

[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation

Nikhil Tomar3rd February 20233rd February 2023

Transformer-based models have shown remarkable progress in the field of medical image segmentation. However, the existing methods still suffer from limitations such as loss of information and inaccurate segmentation label...

Deep Learning

What is U2-Net or U-square Net

Nikhil Tomar1st February 20231st February 2023

U2-Net is a simple and powerful architecture designed for the purpose of salient object detection (SOD). It is a two-level nested U-shaped architecture built using the proposed ReSidual U-blocks (RSU)....

Deep Learning TensorFlow

Simple Object Detection with Bounding Box Regression in TensorFlow

Nikhil Tomar26th January 202326th January 2023

Object detection is a fundamental task in computer vision that involves identifying and locating objects within an image or video. In this post, we will be discussing a simple method...

Deep Learning

TensorFlow vs PyTorch

Nikhil Tomar24th January 202324th January 2023

TensorFlow vs PyTorch TensorFlow and PyTorch are both popular open-source frameworks for building and training machine learning models. Both frameworks have their own strengths and weaknesses, and the choice between...