Sanika Tare·Oct 14The GPT FamilyIn 2018, a language model with 117 million parameters could barely complete a paragraph. Today, GPT-style systems write code, reason…
Photon neurons·Oct 8DeepLearning4J: Building and Training Neural Networks in JavaIf you are a Java developer interested in machine learning and deep learning, you may have wondered:
Umair Inayat·Sep 23Backpropagation: The 1986 Paper That Made Hidden Layers LearnIn 1986, David Rumelhart, Geoffrey Hinton, and Ronald Williams published a short but historic Nature paper: “Learning Representations by…
Mann Malviya·Sep 13Small Language Models versus Classical Machine Learning for Sentiment ClassificationAccuracy, latency and cost on the Emotions Dataset for NLP. CMPE 255 Data Science, Assignment 1, Part I.
Tauhidul Islam Topu·Aug 21How to Explore Deep Learning Without Getting LostDeep learning is everywhere.
Kumarbsai·Aug 9DATA HARVEST DAILY DEEP LEARNINGDeep learning can be very powerful; it requires data, computing power and careful checking. It can also make mistakes if its training data…
Mayank Gariya·Jul 21Gradient boosting : A comprehensive guidein this blog you will be able to grasp the concept of gradient boosting with the geometric plus mathematical understanding .
Aditya S·Jul 19Understanding the Bias-Variance TradeoffOne of the most important — and most misunderstood — concepts in Machine Learning explained from first principles.
Atharva K·Jun 21Four Papers That Taught Me Geometry Is Worth KeepingThis is the second time these molecular-GNN papers have rearranged something in my head, so I’m writing the longer version of the story…
