cnn Archives - Page 2 of 3 - Idiot Developer

Anime Face Generation with Deep Convolutional GANs (DCGAN)

Nikhil Tomar12th January 202412th January 2024

Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence, enabling the creation of realistic images from scratch. In this tutorial, we'll dive into the implementation of a Deep...

Computer Vision PyTorch

Attention UNET in PyTorch

Nikhil Tomar27th February 202327th February 2023

In this article, we are going to learn about the Attention UNET and then implement it in the PyTorch framework. Attention UNET is a type of Convolutional Neural Network (CNN)...

Computer Vision Deep Learning TensorFlow

DeepLabV3+ ResNet50 Architecture in TensorFlow using Keras

Nikhil Tomar12th February 202317th February 2023

https://youtu.be/Ik85ry-Rf1g In today's tutorial, we will be looking at the DeepLabV3+ (ResNet50) architecture implementation in TensorFlow using Keras high-level API. Within this architecture, ResNet50 would be used as the encoder,...

Computer Vision Deep Learning

What is MultiResUNET?

Nikhil Tomar8th February 20238th February 2023

MultiResUNET is an architecture developed by Nabil Ibtehaz et al. for the purpose of multimodal biomedical image segmentation at the Bangladesh University of Engineering and Technology. It is an improvement...

Computer Vision Deep Learning TensorFlow

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

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...

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