deep learning Archives - Page 3 of 5

Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow

Nikhil Tomar6th February 20236th February 2023

In recent years, advances in machine learning and deep learning techniques have revolutionized the field of computer vision. With the help of these techniques, we can now detect and identify...

Deep Learning

[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation

Nikhil Tomar3rd February 20233rd February 2023

Transformer-based models have shown remarkable progress in the field of medical image segmentation. However, the existing methods still suffer from limitations such as loss of information and inaccurate segmentation label...

Deep Learning

What is U2-Net or U-square Net

Nikhil Tomar1st February 20231st February 2023

U2-Net is a simple and powerful architecture designed for the purpose of salient object detection (SOD). It is a two-level nested U-shaped architecture built using the proposed ReSidual U-blocks (RSU)....

Deep Learning TensorFlow

Simple Object Detection with Bounding Box Regression in TensorFlow

Nikhil Tomar26th January 202326th January 2023

Object detection is a fundamental task in computer vision that involves identifying and locating objects within an image or video. In this post, we will be discussing a simple method...

Deep Learning

TensorFlow vs PyTorch

Nikhil Tomar24th January 202324th January 2023

TensorFlow vs PyTorch TensorFlow and PyTorch are both popular open-source frameworks for building and training machine learning models. Both frameworks have their own strengths and weaknesses, and the choice between...

Deep Learning Natural Language Processing

What is ChatGPT?

Nikhil Tomar21st January 202321st January 2023

ChatGPT is a state-of-the-art natural language processing model developed by OpenAI. It is based on transformer architecture and is trained on a massive amount of conversational data. In this blog...

Deep Learning

Activation Function – Basics of Deep Learning

Nikhil Tomar20th January 202321st January 2023

Deep learning is a subset of machine learning that utilizes neural networks with multiple layers to analyze and identify patterns in data. One of the key components of deep learning...

Computer Vision TensorFlow

Human Face Landmark Detection in TensorFlow using Pre-trained MobileNetv2

Nikhil Tomar23rd November 202223rd November 2022

Today, in this blog post, we will learn how to train a Convolutional Neural Network (CNN) to detect human facial landmarks, such as eyes, mouth, nose, jawline and more. We...

Computer Vision Deep Learning

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...

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