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Intro
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Classroom Contents
Deep Ontological Networks: Reasoning Process - Part 2
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- 1 Intro
- 2 Towards a Problem Statement
- 3 Datalog Ontologies: Example
- 4 RRN Model: Intuitions
- 5 RRN Learning: Intuitions
- 6 RRN Learning: Overview
- 7 RRN Prediction: Intuition
- 8 A Deeper Dive: Setup
- 9 A Deeper Dive: Model
- 10 Gated Recurrent Units (GRUS)
- 11 Algorithm 1: Generating individual embeddings
- 12 A Deeper Dive: Prediction
- 13 A Deeper Dive: Training
- 14 Algorithm 2: RRN Training
