Understanding the Bias-Variance Tradeoff in Machine Learning“Kaamyaab hone ke liye nahin, Kaabil hone ke liye padho! (Study not to be successful, but to be capable!)” by Ranchoddas Shamaldas…Aug 20Aug 20
Published inCodeXTypes of Loss functions and their use cases and codeIn the fields of machine learning and statistics, loss functions (also known as cost functions or objective functions) play a pivotal role…Aug 20Aug 20
Decoding the Transformer Model: Architecture, Loss Function, and Inference from the ‘Attention is…The “Attention is All You Need” paper by Vaswani et al. revolutionized the field of natural language processing (NLP) and machine learning…Aug 18Aug 18
ByteTrack …Because deep learning is not the ‘only’ solutionSeveral deep learning models(GoogleNet, Alexnet) exist that can perform object classification tasks quite efficiently. It is a simple task…Jul 31, 2022Jul 31, 2022
Published inCodeXGenerative Facial Prior GAN(GFP-GAN) ExplainedGFP-GAN generates high-resolution images by removing noise and degradation in the input image. Here I have explained the key architectural…Dec 23, 2021Dec 23, 2021
A short introduction to StyleGANGenerative models(GAN) have always been the niche and hard-to-master domain of the Deep learning space. Control over distinct features of…Aug 1, 2021Aug 1, 2021
Overview of Explainable AI and Layer wise relevance propagation (LRP)It is crucial to understand why Neural Networks(NN) are predicting what they are predicting, especially if the application is…Mar 1, 20211Mar 1, 20211
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![Ref: arXiv:1812.04948 [cs.NE]](https://miro.medium.com/v2/resize:fill:320:214/1*EdQPsCgWee2NvUGvYV8NFQ.png)
