Deep-Learning

Data Science

Bounding Box Prediction using PyTorch

AI-ML-DS

Last Updated: 04 January 2024

In the realm of computer vision, PyTorch has emerged as a powerful framework for developing sophisticated models. One fascinating applicatio ...read more

SHAP : A Comprehensive Guide to SHapley Additive exPlanations

AI-ML-DS

Computer Vision

AI-ML-DS With Python

Last Updated: 03 January 2024

SHAP is a unified framework for interpreting machine learning models. It provides a way to understand the contributions of each input featur...read more

Conditional Generative Adversarial Network

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Last Updated: 09 December 2023

Imagine a situation where you can generate images of cats that match your ideal vision or a landscape that adheres to a specific artistic st...read more

Echo State Network - an overview

Last Updated: 09 December 2023

Echo State Networks (ESNs) are a specific kind of recurrent neural network (RNN) designed to efficiently handle sequential data. In Python, ...read more

Xavier initialization

Last Updated: 25 October 2023

Proper initialization can help in maintaining numerical stability and can significantly impact the convergence and performance of the networ ...read more

Image Segmentation with Mask R-CNN, GrabCut, and OpenCV

Last Updated: 30 January 2024

Image segmentation plays a crucial role in computer vision tasks, enabling machines to understand and analyze visual content at a pixel leve...read more

Picked

Impact of learning rate on a model

Computer Vision Projects

AI-ML-DS

Computer Vision

Last Updated: 31 July 2023

In Machine Learning, there are two types of parameters: machine learnable parameters and hyper-parameters. Machine-learnable parameters are ...read more

Classic and Adaptive machines

Last Updated: 31 July 2023

Artificial intelligence uses two different kinds of machine learning algorithms: classic and adaptive. These algorithms have changed through ...read more

data mining

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How to Differentiate a Gradient in PyTorch?

Data Mining

Last Updated: 15 March 2023

PyTorch is an open-source machine-learning framework based on the Torch library. It is built by the Facebook AI team.It is used for Computer...read more

Create Heterogeneous Graph Using dgl in Python

Last Updated: 23 December 2022

In this article, we will create Heterogeneous Graphs using dgl (Deep Graph Library) library in Python. Graphs are nothing but collections of...read more

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Create Homogeneous Graphs using dgl (Deep Graph Library) library

Technical Scripter 2022

Last Updated: 21 November 2022

In this article, we will create Homogeneous Graphs using dgl (Deep Graph Library) library. Graphs are nothing but collections of Nodes/Verti...read more

Python

Tensorflow

Integrate Dialogflow Agent using Actions on Google

PyTorch v/s Tensorflow

Last Updated: 26 November 2020

Over the past few decades, deep learning has made astonishing progress in the field of Artificial Intelligence. Several frameworks can get y...read more

Last Updated: 10 July 2020

Actions on Google (AoG) is the platform for developers to extend the Google Assistant. Using AoG developers can deploy their existing Conver...read more