A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces
arXiv:1803.04818
Abstract
This paper provides an overview of prominent deep learning toolkits and, in particular, reports on recent publications that contributed open source software for implementing tasks that are common in intelligent user interfaces (IUI). We provide a scientific reference for researchers and software engineers who plan to utilise deep learning techniques within their IUI research and development projects.
References in corpus (12)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Caffe: Convolutional Architecture for Fast Feature Embedding
- MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
- Return of the Devil in the Details: Delving Deep into Convolutional Nets
- Cooperative Inverse Reinforcement Learning
- Rasa: Open Source Language Understanding and Dialogue Management
- Combining Neural Networks and Log-linear Models to Improve Relation Extraction
- Machine Teaching: A New Paradigm for Building Machine Learning Systems
- Benchmarking State-of-the-Art Deep Learning Software Tools
- End-to-end optimization of goal-driven and visually grounded dialogue systems
- Intelligent User Interfaces - A Tutorial
Cited by in corpus (7)
- Review: Deep Learning in Electron Microscopy
- Progressive Data Science: Potential and Challenges
- A CNN toolbox for skin cancer classification
- TARexp: A Python Framework for Technology-Assisted Review Experiments
- A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
- Fabrik: An Online Collaborative Neural Network Editor
- A Statistician Teaches Deep Learning