Skip to content
  • Facebook
  • Instagram
  • linkedIn
  • GitHub
  • YouTube

Idiot Developer

Menu
  • Python
  • Deep Learning
  • TensorFlow
  • Computer Vision
  • NLP
  • OpenCV
  • Home
  • cnn

Tag: cnn

GradCAM and its Implementation in PyTorch
Computer Vision Deep Learning PyTorch

GradCAM and its Implementation in PyTorch

Nikhil Tomar1st March 20251st March 2025
Deep learning models, especially convolutional neural networks (CNNs), often function as black boxes, making it difficult to interpret their decision-making processes. Gradient-weighted Class Activation Mapping (GradCAM) is a powerful technique...
GradCAM with TensorFlow: Interpreting Neural Networks with Class Activation Maps
Blog TensorFlow

GradCAM with TensorFlow: Interpreting Neural Networks with Class Activation Maps

Nikhil Tomar26th February 2025
Deep learning models, particularly convolutional neural networks (CNNs), are widely used for image classification, object detection, and various computer vision tasks. However, these models are often referred to as "black...
Visual Question Answering from Scratch using TensorFlow
Computer Vision Deep Learning Natural Language Processing TensorFlow

Visual Question Answering from Scratch using TensorFlow

Nikhil Tomar15th January 202515th January 2025
Visual Question Answering (VQA) is a fascinating field in artificial intelligence where a system answers questions about an image. This combines natural language processing (NLP) to understand the question and...
What is Image Captioning?
Computer Vision Deep Learning

What is Image Captioning?

Nikhil Tomar29th August 2024
In recent years, the field of artificial intelligence (AI) has seen remarkable advancements, particularly in how machines can understand and describe visual content. One of the fascinating developments in this...
ResUNet++ Implementation in TensorFlow
Computer Vision Deep Learning TensorFlow

ResUNet++ Implementation in TensorFlow

Nikhil Tomar20th April 202420th April 2024
In this article, we will study the ResUNet++ architecture and implement it using the TensorFlow framework. ResUNet++ is a medical image segmentation architecture built upon the ResUNet architecture. It takes...
UNet 3+ Implementation in TensorFlow
Computer Vision Deep Learning TensorFlow

UNet 3+ Implementation in TensorFlow

Nikhil Tomar11th April 202414th September 2024
In this article, we will implement the UNet 3+ architecture using TensorFlow. UNet 3+ extends the classic UNet and UNet++ architecture incorporating full skip connections. We will delve into each block...
Skip Connection in Image Segmentation: UNet, UNet++ and UNet 3+
Computer Vision Deep Learning

Skip Connection in Image Segmentation: UNet, UNet++ and UNet 3+

Nikhil Tomar7th February 2024
Image segmentation, a fundamental task in computer vision, involves partitioning an image into multiple segments to simplify its representation. One of the critical advancements in image segmentation architectures is the...
[Paper Summary] UNet 3+: A Full-Scale Connected UNET For Medical Image Segmentation
Computer Vision Deep Learning

[Paper Summary] UNet 3+: A Full-Scale Connected UNET For Medical Image Segmentation

Nikhil Tomar5th February 20245th February 2024
In medical image analysis, accurately identifying and outlining organs is vital for clinical applications such as diagnosis and treatment planning. The UNet architecture, a widely favoured choice for these tasks,...
ResUNET: A TensorFlow Implementation for Semantic Segmentation
Computer Vision Deep Learning TensorFlow

ResUNET: A TensorFlow Implementation for Semantic Segmentation

Nikhil Tomar1st February 20241st February 2024
In computer vision and medical image analysis, semantic segmentation plays a pivotal role in understanding and interpreting visual data. One of the prominent architectures in this domain is ResUNet, a...
ColonSegNet Implementation In TensorFlow
Computer Vision Deep Learning TensorFlow

ColonSegNet Implementation In TensorFlow

Nikhil Tomar25th January 202416th September 2024
In this article, we will explore the technical intricacies of implementing ColonSegNet in TensorFlow. ColonSegNet is a lightweight, real-time colon segmentation architecture that has garnered attention for its efficiency in...

Posts navigation

1 2 … 4 Next

SEARCH

  • Artificial Intelligence
  • Blog
  • Computer Vision
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • OpenCV
  • Python
  • PyTorch
  • R
  • Socket Programming
  • TensorFlow
  • Automating Generative AI Optimization with TextGrad: A Breakthrough in AI System Refinement
  • GradCAM and its Implementation in PyTorch
  • GradCAM with TensorFlow: Interpreting Neural Networks with Class Activation Maps
  • Visual Question Answering from Scratch using TensorFlow
  • Key Components of Large Language Models (LLMs)
Close
Menu
  • Python
  • Deep Learning
  • TensorFlow
  • Computer Vision
  • NLP
  • OpenCV
Social profiles
  • Facebook
  • Instagram
  • linkedIn
  • GitHub
  • YouTube
  • Facebook
  • Instagram
  • linkedIn
  • GitHub
  • YouTube
  • Home
  • About
  • Contact
  • Privacy Policy
  • Profile