Deep Learning Archives - Page 4 of 6

What is MobileViT?

Nikhil Tomar15th November 202215th November 2022

This article covers an overall summary of the MobileViT: Light-Weight, General-Purpose, and Mobile-Friendly Vision Transformers research paper. MobileViT is a lightweight and general-purpose vision transformer for mobile vision tasks. It...

Computer Vision Deep Learning

Vision Transformer – An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

Nikhil Tomar2nd November 20226th February 2023

In this blog post, we are going to learn about the Vision Transformer (ViT). It is a pure Transformer based architecture used for image classification tasks. Vision Transformer (ViT) has...

Computer Vision Deep Learning

MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition

Nikhil Tomar31st October 20226th February 2023

In this work, we present a lightweight matting objective decomposition network (MODNet) for portrait matting in real-time with a single input image. MODNet inputs a single RGB image and applies...

Deep Learning

Why Deep Learning is not Artificial General Intelligence (AGI)

Nikhil Tomar7th October 202211th October 2022

With the development in the field of deep learning, it has become a frontier in solving multiple challenging problems in computer vision, games, self-driving cars and many more. Deep learning...

Computer Vision Deep Learning TensorFlow

Deep Learning based Background Removal from Images using TensorFlow and Python

Nikhil Tomar3rd January 202231st October 2022

In this tutorial, we are going to learn how to use deep learning to remove background from images with TensorFlow. In short, we'll use DeepLabV3+, a semantic segmentation based model...

Deep Learning TensorFlow

Custom Layer in TensorFlow using Keras API

Nikhil Tomar4th December 20214th December 2021

The majority of the people interested in deep learning must have used the TensorFlow library. It is the most popular and widely used deep learning framework. We have used the...

Computer Vision Deep Learning TensorFlow

VGG16 UNET Implementation in TensorFlow

Nikhil Tomar3rd December 20216th February 2023

In this article, we are going to implement the most widely used image segmentation architecture called UNET. We are going to replace the UNET encoder with the VGG16 implementation from...

Computer Vision Deep Learning Python PyTorch TensorFlow

Squeeze and Excitation Implementation in TensorFlow and PyTorch

Nikhil Tomar1st December 20211st December 2021

The Squeeze and Excitation network is a channel-wise attention mechanism that is used to improve the overall performance of the network. In today's article, we are going to implement the...

Deep Learning

Semi-supervised Learning – Fundamentals of Deep Learning

Nikhil Tomar27th November 202127th November 2021

Semi-supervised learning is a type of machine learning where we use a combination of a large amount of unlabelled data and a small amount of labelled data to train the...

Computer Vision Deep Learning

Squeeze and Excitation Networks

Nikhil Tomar5th October 202111th October 2022

Convolutional Neural Network (CNN) has been most widely used in the field of computer vision and visual perception to solve multiple tasks such as image classification, semantic segmentation and many...

URL on VGG16 UNET Implementation in TensorFlow26th August 2024
... [Trackback] [...] Read More here: idiotdeveloper.com/vgg16-unet-implementation-in-tensorflow/ [...]
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