Naveed KhanLimitations of Large Language Models in Generating Customized CodeI’ve been experimenting with various transformer architectures over the past few days, thanks to the increasingly advanced coding…3 min read·May 22, 2024----
Naveed KhanDeep Learning Model Interpretability with SHAPDeep learning models have shown impressive performance in various tasks relating to medicine, but their black-box nature often raises…5 min read·May 19, 2024----
Naveed KhanHow a Machine Learning Model LearnsRecent hype in AI and machine learning particularly has caused many people to wonder regarding how a machine learning model actually…5 min read·Mar 15, 2024----
Naveed KhanMultimodal Analysis in Deep Learning: Beginner’s GuideMultimodal analysis is increasingly becoming popular in deep learning practices, specially after the inception of transformers.6 min read·Sep 23, 2023--2--2
Naveed KhaninAI MindFederated Learning for Medical ImagingFederated Learning (FL) is a machine learning paradigm where model training happens across decentralized servers (or edge devices) without…6 min read·Aug 3, 2023--1--1
Naveed KhanTensorflow Custom Training LoopWhile training a neural network, it’s highly probable that you have been using the popular fit method of tensorflow model class which…3 min read·Jul 23, 2023--1--1
Naveed KhanTumor Segmentation in Breast Ultrasound Images using U-Net 3+Tumor segmentation is a widely studied research area in deep learning. In the recent past numerous deep learning architectures have been…5 min read·Jul 12, 2023----
Naveed KhanAnomaly Detection in Industrial Equipment using Sound SignalsAnomaly detection is one of the application areas of modern machine learning techniques. The main goal is to distinguish abnormal events…5 min read·Jul 1, 2023--1--1
