machine learning Archives - Idiot Developer

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?

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...

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....

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...

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

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...

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

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...

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...

URL on VGG16 UNET Implementation in TensorFlow26th August 2024
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Pratham Patil on Polyp Segmentation using UNET in TensorFlow 2.020th August 2024
Hello Nikhil, Great article and video really informative and very efficient way of implementing data pipeline but when I was…
Palani on Simple Object Detection with Bounding Box Regression in TensorFlow10th February 2023
Hi Nikhil, Thanks for your dedications and explored very well. it is great helps to me. by Palani
aravind on Polyp Segmentation using UNET in TensorFlow 2.019th April 2022
ImportError: cannot import name 'load_data' from 'data' (C:\Users\Aravinda\anaconda3\lib\site-packages\data\__init__.py)
chinnu jacob on Squeeze and Excitation Implementation in TensorFlow and PyTorch4th December 2021
sir can you share a code of using squeeze and excitation network on custom CNN for a classification