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Category: Deep Learning

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...
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,...
Image Segmentation-based Background Removal in TensorFlow
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...
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...
Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow
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...
[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation
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...
What is U2-Net or U-square Net
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)....
Simple Object Detection with Bounding Box Regression in TensorFlow
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...
TensorFlow vs PyTorch
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...

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