Deep Learning Archives - Idiot Developer

Deep Learning Natural Language Processing

Automating Generative AI Optimization with TextGrad: A Breakthrough in AI System Refinement

Nikhil Tomar1st April 2025

TextGrad is revolutionizing AI optimization by automating system refinement using natural language feedback. AI systems now rely on multiple large language models (LLMs) and external tools for complex tasks. Traditionally,...

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...

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...

Deep Learning Natural Language Processing

Key Components of Large Language Models (LLMs)

Nikhil Tomar18th September 202418th September 2024

Large Language Models (LLMs) have become the backbone of modern Natural Language Processing (NLP), pushing the boundaries of tasks like text generation, summarization, machine translation, and question-answering. These models are...

Computer Vision Deep Learning

[Paper Summary] EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation

Nikhil Tomar14th September 202414th September 2024

This post will analyze the research paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation." We will discuss the problems with existing medical image segmentation methods and how...

Deep Learning Natural Language Processing

A Brief History of Large Large Language Models (LLMs)

Nikhil Tomar14th September 202414th September 2024

Artificial intelligence (AI) has made remarkable progress in recent years, particularly in natural language processing (NLP). One of the most significant developments has been the rise of large language models...

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...

Deep Learning PyTorch TensorFlow

What is Dice Coefficient?

Nikhil Tomar28th August 202428th August 2024

This article will explore the Dice Coefficient (DSC), a metric commonly used to evaluate the similarity between two sets. We'll delve into its definition, provide implementations in NumPy, TensorFlow, and...

Deep Learning

Generative and Discriminative Models in Machine Learning

Nikhil Tomar17th August 202414th September 2024

Machine learning is a fascinating field that teaches computers to make decisions or predictions based on data. Two main types of models are commonly used: generative models and discriminative models....

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...