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Deep Learning Natural Language Processing

Automating Generative AI Optimization with TextGrad: A Breakthrough in AI System Refinement

Nikhil Tomar1st April 2025
Computer Vision Deep Learning PyTorch

GradCAM and its Implementation in PyTorch

Nikhil Tomar1st March 20251st March 2025
Blog TensorFlow

GradCAM with TensorFlow: Interpreting Neural Networks with Class Activation Maps

Nikhil Tomar26th February 2025
Computer Vision Deep Learning Natural Language Processing TensorFlow

Visual Question Answering from Scratch using TensorFlow

Nikhil Tomar15th January 202515th January 2025
What is Dice Coefficient?
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...
Read Video Files Using OpenCV Python
OpenCV Python

Read Video Files Using OpenCV Python

Nikhil Tomar25th August 202425th August 2024
Reading and processing video files is a common task in computer vision, and OpenCV makes it easy to work with video data. In this article, we'll go through the process...
Generative and Discriminative Models in Machine Learning
Deep Learning

Generative and Discriminative Models in Machine Learning

Nikhil Tomar17th August 202414th September 2024
Machine learning is a fascinating field that teaches computers to make decisions or predictions based on data. Two main types of models are commonly used: generative models and discriminative models....
Image Masking with OpenCV AddWeighted
Computer Vision OpenCV

Image Masking with OpenCV AddWeighted

Nikhil Tomar13th August 202415th August 2024
Image masking is a powerful technique used in image processing to manipulate specific parts of an image while leaving other areas untouched. This is particularly useful in applications like object...
ResUNet++ Implementation in TensorFlow
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...
UNet 3+ Implementation in TensorFlow
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...
Skip Connection in Image Segmentation: UNet, UNet++ and UNet 3+
Computer Vision Deep Learning

Skip Connection in Image Segmentation: UNet, UNet++ and UNet 3+

Nikhil Tomar7th February 2024
Image segmentation, a fundamental task in computer vision, involves partitioning an image into multiple segments to simplify its representation. One of the critical advancements in image segmentation architectures is the...
[Paper Summary] UNet 3+: A Full-Scale Connected UNET For Medical Image Segmentation
Computer Vision Deep Learning

[Paper Summary] UNet 3+: A Full-Scale Connected UNET For Medical Image Segmentation

Nikhil Tomar5th February 20245th February 2024
In medical image analysis, accurately identifying and outlining organs is vital for clinical applications such as diagnosis and treatment planning. The UNet architecture, a widely favoured choice for these tasks,...
ResUNET: A TensorFlow Implementation for Semantic Segmentation
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...
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...

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  • Automating Generative AI Optimization with TextGrad: A Breakthrough in AI System Refinement
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