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Anubhav Tewari

Anubhav Tewari has been a Machine Learning Developer, Intern at OpenGenus.

India •
11 posts •
Machine Learning (ML)

Super Resolution GAN: SRGAN

Super Resolution GAN (SRGAN) is generative adversarial network that can generate high resolution images from low resolution images using perceptual loss function that is made of the adversarial loss as well as the content loss.

Anubhav Tewari
Machine Learning (ML)

Types of Generative Adversarial Networks (GANs)

In this article, we cover the types of GAN's. A Generative Adversarial Network is a machine learning algorithm that is capable of generating new training datasets.

Anubhav Tewari
data science

AO* algorithm

AO* algorithm is a best first search algorithm. AO* algorithm uses the concept of AND-OR graphs to decompose any complex problem given into smaller set of problems which are further solved.

Anubhav Tewari
Machine Learning (ML)

ResNeXt architecture

In this article, we have explored the ResNeXt model architecture which has been developed by Facebook. We have provided a Python implementation of ResNeXt along with applications of the model.

Anubhav Tewari
Machine Learning (ML)

YOLOR model architecture

In this article, we have covered YOLOR model architecture in depth and compared it with other YOLO variants like YOLOv4.

Anubhav Tewari
TensorFlow

Max Pool and Avg Pool in TensorFlow

In this article, we have explored Max Pool and Avg Pool in TensorFlow in depth with Python code using the MaxPool and AvgPool ops in TensorFlow.

Anubhav Tewari
Machine Learning (ML)

OpenPose Systems

In this article, we have explored the idea of OpenPose Systems in depth which is used for Pose Detection application using Machine Learning.

Anubhav Tewari
Machine Learning (ML)

Pose Estimation

In this article, we will be discussing about pose estimation and its applications. When the machine uses computer vision to detect the shape and the structure of the human body, it is known as pose estimation.

Anubhav Tewari
Machine Learning (ML)

U-Net architecture

In this article, we have explained U-Net architecture along with other key ideas like Downsampling and Upsampling path with features and applications of U-Net.

Anubhav Tewari
Machine Learning (ML)

A * Search Algorithm

In this article, we are going to have a look at the A * Search Algorithm , its properties, some of its advantages and disadvantages as well as real life applications.

Anubhav Tewari
Software Engineering

Vector of Pair in C++

We have covered the idea of Vector of Pair in C++ with code examples along with basics of Pair and vector in C++.

Anubhav Tewari
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