Neural Networks

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