GradientCrescent

Fundamentals of Reinforcement Learning : The K-bandit Problem, Illustrated

Fundamentals of Reinforcement Learning: Navigating Gridworld with Dynamic Programming

Protein Function Prediction Using Gene Ontology Embeddings & Deep Learning.

Embedding ontology axioms…

Generating extinct Japanese script with Adversarial Autoencoders: Theory and Implementation

Foreseeing Armageddon: Could AI have Predicted the Financial Crisis? A Scenario Study using Recurrent Neural Networks

Urban Sound Classification using Convolutional Neural Networks with Keras: Theory and Implementation

How to Train Your Model: A novice’s guide to selecting the correct machine learning algorithm for your problem

Seeing is Believing — Mesoscopic Neural Networks for Synthetic Image Detection: an Implementation in Keras and…

AI, Truth, and Society: Deepfakes at the front of the Technological Cold War