File Transfer using UDP Socket in C

Nikhil Tomar
posted on 26th February 202126th February 2021
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In this tutorial, we are going to build a file transfer program in the C programming language. Here we are going to use the UDP (User Datagram Protocol) socket to connect the client and the server.

Posted in Computer Vision, Deep Learning, Python, TensorFlow

UNET Implementation in TensorFlow using Keras API

Nikhil Tomar
posted on 15th February 202115th February 2021
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In this post, you will learn how to implement UNET architecture in TensorFlow using Keras API. The post helps you to learn about UNET, and how to use it for your research. UNET is one of the most

Posted in Deep Learning

Why do we need GPU for Deep Learning?

Nikhil Tomar
posted on 14th February 202114th February 2021
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The current era started to move towards Artificial Intelligence, which massively impacted the world with its ability to achieve the tasks that were a dream of humanity. All of these achievements are

Posted in Computer Vision, Python

Extract and Saving Frame from Videos in Python

Nikhil Tomar
posted on 12th February 202112th February 2021
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In this post, we are going to learn and build a python program where we are going to extract and save frames from videos using the OpenCV library. OpenCV is one of the most commonly used library for

Posted in Computer Vision, Deep Learning, Python, TensorFlow

What is RESUNET

Nikhil Tomar
posted on 6th February 20216th February 2021
1 Comment

RESUNET refers to Deep Residual UNET. It’s an encoder-decoder architecture developed by Zhengxin Zhang et al. for semantic segmentation. It was initially used for the road extraction from the

Posted in Computer Vision, Deep Learning

What is UNET?

Nikhil Tomar
posted on 19th January 20216th February 2021
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UNET is an architecture developed by Olaf Ronneberger et al. for Biomedical Image Segmentation in 2015 at the University of Freiburg, Germany. It is one of the most popularly used approaches in any

Posted in Computer Vision, Deep Learning

Data Augmentation for Semantic Segmentation – Deep Learning

Nikhil Tomar
posted on 14th October 202014th October 2020
1 Comment

All the technological advancements in the field of Artificial Intelligence (AI) is facilitated due to the availability large amount of dataset and the computational hardware’s like GPU’s and

Posted in Computer Vision, Deep Learning, Python, TensorFlow

DCGAN – Implementing Deep Convolutional Generative Adversarial Network in TensorFlow

In this tutorial, we are going to implement a Deep Convolutional Generative Adversarial Network (DCGAN) on Anime faces dataset. The code is written in TensorFlow 2.2 and Python3.8 . According to

Posted in Deep Learning

GAN – What is Generative Adversarial Network?

Generative Adversarial Network or GAN is a machine learning approach used for generative modelling designed by Ian Goodfellow and his colleagues in 2014. It is made of two neural networks: generator

Posted in Computer Vision, Python, TensorFlow

UNET Segmentation with Pretrained MobileNetV2 as Encoder

In this tutorial, we are going to work on UNet segmentation and use it for biomedical image segmentation tasks. This time we are going to use pre-trained MobileNetV2 as the encoder for the UNet