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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
Turing Test and The Chinese Room Test
Artificial Intelligence

Turing Test and The Chinese Room Test

Nikhil Tomar2nd May 20232nd May 2023
Artificial Intelligence (AI) has been improving and plays a vital role in our daily lives. One of the most popular tests for determining the intelligence of a machine is the...
Types of Artificial Intelligence
Artificial Intelligence

Types of Artificial Intelligence

Nikhil Tomar27th April 202327th April 2023
Artificial Intelligence (AI) has been a buzzword for a while now, and the technology is growing at an unprecedented rate. With the rise in AI, machines are becoming increasingly intelligent...
What is Artificial Intelligence
Artificial Intelligence

What is Artificial Intelligence

Nikhil Tomar27th April 202327th April 2023
Artificial intelligence (AI) is one of the most rapidly developing technologies of our time. It is a branch of computer science that involves creating intelligent machines that can perform tasks...
Read 3D NIFTI Images in Python3
OpenCV Python

Read 3D NIFTI Images in Python3

Nikhil Tomar11th April 202311th April 2023
Medical imaging is an essential tool in the diagnosis, treatment, and monitoring of various medical conditions. One of the most widely used medical imaging techniques is Magnetic Resonance Imaging (MRI),...
Attention UNET in PyTorch
Computer Vision PyTorch

Attention UNET in PyTorch

Nikhil Tomar27th February 202327th February 2023
In this article, we are going to learn about the Attention UNET and then implement it in the PyTorch framework. Attention UNET is a type of Convolutional Neural Network (CNN)...
Attention UNET and its Implementation in TensorFlow
Computer Vision TensorFlow

Attention UNET and its Implementation in TensorFlow

Nikhil Tomar26th February 202326th February 2023
In the article, we will go through the paper Attention U-Net: Learning Where to Look for the Pancreas. It was written by Ozan Oktay et. al in the year 2018...
Logistic Regression in TensorFlow
TensorFlow

Logistic Regression in TensorFlow

Nikhil Tomar14th February 202314th February 2023
Logistic Regression is a popular machine-learning algorithm that is used for classification tasks. In this tutorial, we will learn how to implement Logistic Regression in TensorFlow 2.0 using the tf.keras.Model...
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...
Exploring Bounding Boxes and Different Annotation Formats in Object Detection
Computer Vision

Exploring Bounding Boxes and Different Annotation Formats in Object Detection

Nikhil Tomar10th February 202310th February 2023
Bounding boxes play a critical role in the object detection process, a fundamental task in computer vision. Object detection entails the identification and precise localization of objects within an image....

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