Neural Networks: Difference between revisions
From charlesreid1
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* https://github.com/dribnet/kerosene - kerosene | * https://github.com/dribnet/kerosene - kerosene | ||
* https://github.com/dribnet/chips - blocks/fuel helpers | * https://github.com/dribnet/chips - blocks/fuel helpers | ||
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Revision as of 21:36, 14 October 2017
Neural Network Libraries
- Keras - neural network library with high-level API to enable rapid prototyping
- TensorFlow - neural network with low-level C++ implementation, and high-level Python API, enabling it to run on a variety of hardware kernels
- Theano
- MXNet - Apache project for building neural networks
- Gluon - API for MXNet intended to provide a higher-level API to enable rapid prototyping
Neural Network Datasets
Facial recognition/facial matching:
- LFW - Labeled faces in the wild
- Yale Faces - consists of original (very small) and B (larger)
- MegaFace - UW facial recognition dataset
- FDDB - face detection database
Data Engineering Pipelines
Data engineering scenarios:
- https://github.com/data-engineering-scenarios/kaggle-sql-jupyter-keras - SQL data on credit card fraud hosted in Dockerized containers, loaded into Keras+TensorFlow Jupyter notebook running in Docker container
Software related to building neural network pipelines:
Fuel:
- Fuel is a library for creating machine learning pipelines
- https://github.com/mila-udem/fuel
- https://github.com/mila-udem/blocks - blocks
- https://github.com/dribnet/kerosene - kerosene
- https://github.com/dribnet/chips - blocks/fuel helpers