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GradCAM with TensorFlow: Interpreting Neural Networks with Class Activation Maps

Nikhil Tomar26th February 2025

Deep learning models, particularly convolutional neural networks (CNNs), are widely used for image classification, object detection, and various computer vision tasks. However, these models are often referred to as "black...

Visual Question Answering from Scratch using TensorFlow

Nikhil Tomar15th January 202515th January 2025

Visual Question Answering (VQA) is a fascinating field in artificial intelligence where a system answers questions about an image. This combines natural language processing (NLP) to understand the question and...

Deep Learning PyTorch TensorFlow

What is Dice Coefficient?

Nikhil Tomar28th August 202428th August 2024

This article will explore the Dice Coefficient (DSC), a metric commonly used to evaluate the similarity between two sets. We'll delve into its definition, provide implementations in NumPy, TensorFlow, and...

Computer Vision Deep Learning TensorFlow

ResUNet++ Implementation in TensorFlow

Nikhil Tomar20th April 202420th April 2024

In this article, we will study the ResUNet++ architecture and implement it using the TensorFlow framework. ResUNet++ is a medical image segmentation architecture built upon the ResUNet architecture. It takes...

Computer Vision Deep Learning TensorFlow

UNet 3+ Implementation in TensorFlow

Nikhil Tomar11th April 202414th September 2024

In this article, we will implement the UNet 3+ architecture using TensorFlow. UNet 3+ extends the classic UNet and UNet++ architecture incorporating full skip connections. We will delve into each block...

Computer Vision Deep Learning TensorFlow

ResUNET: A TensorFlow Implementation for Semantic Segmentation

Nikhil Tomar1st February 20241st February 2024

In computer vision and medical image analysis, semantic segmentation plays a pivotal role in understanding and interpreting visual data. One of the prominent architectures in this domain is ResUNet, a...

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...

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 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 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...