2020 - Idiot Developer

Data Augmentation for Semantic Segmentation – Deep Learning

Nikhil Tomar14th October 202014th October 2020

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 TPU’s. In...

Computer Vision Deep Learning Python TensorFlow

DCGAN – Implementing Deep Convolutional Generative Adversarial Network in TensorFlow

Nikhil Tomar24th July 202022nd November 2021

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...

Deep Learning

GAN – What is Generative Adversarial Network?

Nikhil Tomar22nd July 202022nd July 2020

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:...

Computer Vision Python TensorFlow

UNET Segmentation with Pretrained MobileNetV2 as Encoder

Nikhil Tomar16th June 20205th June 2021

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...

Python

An Introduction to Scraping Images With Python

Nikhil Tomar14th June 202016th June 2020

The Internet is a rich source of data and information in the world that is easy to acquire. This data includes images, PDF, text, audio, and video. To acquire the...

Deep Learning

OpenAI GPT-3: The successor of OpenAI GPT-2

Nikhil Tomar30th May 202018th September 2021

The research lab OpenAI has released a preprint arXiv paper, titled "Language Models are Few-Shot Learners" or OpenAI GPT-3, which is a continuation of their previous work entitled "Language Models...

Computer Vision Deep Learning TensorFlow

Building Convolutional Autoencoder using TensorFlow 2.0

Nikhil Tomar20th May 202027th May 2020

We are going to continue our journey on the autoencoders. In this article, we are going to build a convolutional autoencoder using the convolutional neural network (CNN) in TensorFlow 2.0....

Computer Vision

Introduction to Autoencoders

Nikhil Tomar12th May 202020th May 2020

In today's article, we are going to discuss a neural network architecture called autoencoders. This article is aimed at Machine Learning and Deep Learning beginners who are interested in getting...

Computer Vision TensorFlow

Polyp Segmentation using UNET in TensorFlow 2.0

Nikhil Tomar4th May 202016th May 2020

In this tutorial, we will learn about how to perform polyp segmentation using deep learning, UNet architecture, OpenCV, and other libraries. We will use a polyp segmentation dataset to understand...

Socket Programming

File Transfer using TCP Socket in C

Nikhil Tomar1st May 20208th December 2021

https://www.youtube.com/watch?v=7d7_G81uews In this tutorial, you will learn how to perform a file (data) transfer over a TCP socket in the C programming language. You will see how a client reads...

URL on VGG16 UNET Implementation in TensorFlow26th August 2024
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Pratham Patil on Polyp Segmentation using UNET in TensorFlow 2.020th August 2024
Hello Nikhil, Great article and video really informative and very efficient way of implementing data pipeline but when I was…
Palani on Simple Object Detection with Bounding Box Regression in TensorFlow10th February 2023
Hi Nikhil, Thanks for your dedications and explored very well. it is great helps to me. by Palani
aravind on Polyp Segmentation using UNET in TensorFlow 2.019th April 2022
ImportError: cannot import name 'load_data' from 'data' (C:\Users\Aravinda\anaconda3\lib\site-packages\data\__init__.py)
chinnu jacob on Squeeze and Excitation Implementation in TensorFlow and PyTorch4th December 2021
sir can you share a code of using squeeze and excitation network on custom CNN for a classification