Nikhil Bhargava, PhD in Making·Aug 5A Practitioner’s Guide to Loss Functions for Training Deep Multimodal LLMsTL;DR:
ABHISHEK S M·May 17A quiet introduction to surprise, entropy, and informationBefore we speak about machine learning, let us speak about something simpler.
Santhosh Sivan·Feb 16, 2025Supervised machine learning algorithm — Logistic regressionWhile there are many machine learning algorithms for classification problems (i.e to predict whether the input is ‘cat’ or ‘dog’ , ‘car’…
Abu Huzaifah Bin Haji Bidin·Sep 21, 2024Siri Belajar AI: Asas Model Bahasa (Bahagian 2)Mari kenal sedikit tentang kehilangan
Rajeshneupane·Feb 19, 2024Log Likelihood ratio comparisons of two different models using pythonLog likelihood is one of the methods for comparing and selection of best performing models, to be quick, we are here predicting the…
Soumallya Bishayee·Mar 19, 2023Theory, Mathematics & python implementation of Logistic RegressionLogistic Regression is a supervised learning technique. It is used for classification task. It also calculate the probability for each…
Abhinav sharma·Nov 2, 2022Gaussian Embedding of Large-scale Attributed Graphs :- Research paper summaryhttps://github.com/bhagya-hettige/GLACE
Ekkasit Pinyoanuntapong·Feb 4, 2022The Confusion of CrossEntropy & NLLLoss In PytorchCross Entropy Loss in Pytorch combines Softmax and CrossEntropy (not just CrossEntropy part)
Dhruv Metha·Jul 22, 2021Why Cross Entropy Loss?While solving classification problems using deep learning models, we use cross entropy to tell the model how good or bad it’s predictions…
Arthur Wu·Nov 12, 2020A Tutorial on Energy-Based LearningA Tutorial of “A Tutorial on Energy-Based Learning”
