eBooks E-Books Lecture 12 Recurrent Neural Nets and LSTMs (Oxford) Lecture 11 Max-margin learning, transfer and memory networks (Oxford) Recurrent Neural Networks for Steering Through Time (MIT) Shapes of distributions (K-A) Lecture 10 Convolutional Neural Networks (Oxford) Introduction to Human-Centered Artificial Intelligence (AI) (MIT) Example: Comparing distributions (K-A) Lecture 1 Introduction (Oxford) Deep Reinforcement Learning for Motion Planning (MIT) Comparing dot plots, histograms, and box plots (K-A) Deep Reinforcement Learning (MIT) Comparing distributions with dot plots (example problem) (K-A) Deep Learning for Human-Centered Semi-Autonomous Vehicles (MIT) Clusters, gaps, peaks & outliers (K-A) Deep Learning for Human Sensing (MIT) Deep Learning (MIT) « Previous 1 … 2,368 2,369 2,370 2,371 2,372 … 4,276 Next »
