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A Brief History of Large Large Language Models (LLMs)
Deep Learning Natural Language Processing

A Brief History of Large Large Language Models (LLMs)

Nikhil Tomar14th September 202414th September 2024
Artificial intelligence (AI) has made remarkable progress in recent years, particularly in natural language processing (NLP). One of the most significant developments has been the rise of large language models...
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...
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....
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...
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...
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...
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...
Mastering k-Nearest Neighbor Algorithm in R
R

Mastering k-Nearest Neighbor Algorithm in R

Nikhil Tomar9th July 20239th July 2023
The field of machine learning is thriving with a plethora of algorithms that can be used to solve a wide range of problems. One such algorithm is the k-Nearest Neighbor...
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...

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