Fill your skill gaps in AI and Data Science

External Tag: neural-networks

Optical Flow with RAFT: Part 1

External Tags computer-vision, deep learning, neural-networks, optical-flow, thoughts-and-theory

Correct Sampling Bias for Recommender Systems

External Tags data-science, deep learning, neural-networks, programming, Recommendations

What is Adam Optimizer?

External Tags adam, Algorithm, Beginner, bias, blogathon, Classification, deep learning, learning rate, machine-learning, neural-networks, optimization, Training

How to Program a Neural Network

External Tags ai, deep learning, hands-on-tutorials, machine-learning, neural-networks

XGBoost: How Deep Learning Can Replace Gradient Boosting and Decision Trees — Part 2: Training

External Tags automatic-differentiation, differentiable, machine-learning, neural-networks, xgboost

Harnessing Neuroevolution for AI Innovation

External Tags ai, AI innovation, Algorithm, algorithms, artificial-intelligence, Beginner, blogathon, challenges, complex, music, neural-networks, problem solving, python

Can Transformers Learn to Strategize?

External Tags deep learning, editors-pick, game-theory, neural-networks, Transformers

A.I Un-Learning Problem

External Tags artificial-intelligence, deep learning, machine-learning, neural-networks, unlearning

Entropy based Uncertainty Prediction

External Tags artificial-intelligence, deep learning, neural-networks, technology, uncertainty

Auto-tuning for Deep Neural Network deployment

External Tags deep learning, edge computing, neural-networks, optimization, tips-and-tricks