College life can be a transformative and exciting period where you can gain valuable knowledge, skills, and personal growth. Here are some aspects that students… Read More
GBlog GFG CodeCamp - Build Coding Habit in Just 21 Days
Data Structure and Algorithms(DSA), Programming, Coding, Logic, etc all these terms feel like nightmares. DSA and Coding can be quite complex at the beginning level but th...Read More
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Rounds There are 4 rounds in Wipro’s recruitment process- Aptitude Test Written Communication Test Coding Business Discussion Round Interview Process Wipro has renamed its Interview… Read More
Job title: Corporate Manager-WILDCRAFT Location: Bangalore PROCESS: GD PERSONAL INTERVIEW FINAL INTERVIEW I applied for the CORPORATE MANAGER (Sales) role in Wildcraft, through my… Read More
Introduction: Welcome to GLA University, a renowned institution known for its academic excellence and innovative learning environment. If you aspire to join our esteemed college… Read More
In this article, we will learn how we can use recurrent neural networks (RNNs) for text classification tasks in NLP. We would be performing sentiment… Read More
This article discusses audio recognition and also covers an implementation of a simple audio recognizer in Python using the TensorFlow library which recognizes eight different… Read More
In this article, we will learn how to use Scikit learn for generating simple 1D kernel density estimation. We will first understand what is kernel… Read More
In this article, we will learn how to perform key phrase and keyword extraction from text using natural language techniques. We will first discuss about… Read More
Gradient descent is an optimization algorithm used to find the set of parameters (coefficients) of a function that minimizes a cost function. This method iteratively… Read More
In this article, we will learn how to use Scikit learn for visualizing different beta divergence loss functions. We will first understand what are beta… Read More
In this article, we will first discuss bidirectional LSTMs and their architecture. We will then look into the implementation of a review system using Bidirectional… Read More
Deep learning in Pytorch is becoming increasingly popular due to its ease of use, support for multiple hardware platforms, and efficient processing. Image datasets, dataloaders,… Read More
U-Net is a widely used deep learning architecture that was first introduced in the “U-Net: Convolutional Networks for Biomedical Image Segmentation” paper. The primary purpose… Read More
Machine learning is a subfield of artificial intelligence that deals with the creation of algorithms that can learn and improve themselves without explicit programming. One… Read More
Machine learning models require input features that are relevant and important to predict the outcome. However, not all features are equally important for a prediction… Read More
