Neural Networks - Revision history

Admin: /* Neural Network Libraries */

2017-10-14T21:41:45Z

Neural Network Libraries

← Older revision		Revision as of 21:41, 14 October 2017
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	=Neural Network Libraries=		=Neural Network Libraries=

	* [[Keras]] - neural network library with high-level API to enable rapid prototyping		Keras:
	* [[Theano]] - similar in spirit to TensorFlow, Theano is a library intended for tensor calculations. It is not Google-sponsored.		* [[Keras]] is a 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		* https://github.com/fchollet/keras
	* [[MXNet]] - Apache project for building neural networks		* https://keras.io/
	* [[Gluon]] - API for MXNet intended to provide a higher-level API to enable rapid prototyping
			Lasagne:
			* [[Lasagne]] is similar in spirit to Keras, it provides a higher-level API for building neural networks in Theano.
			* https://github.com/Lasagne/Lasagne
			* https://lasagne.readthedocs.io/en/latest/

			Theano:
			* [[Theano]] is similar in spirit to TensorFlow, Theano is a library intended for tensor calculations. It is not Google-sponsored.

			TensorFlow:
			* [[TensorFlow]] is a neural network library with low-level C++ implementation, and high-level Python API, enabling it to run on a variety of hardware kernels

			MXNet:
			* [[MXNet]] is an Apache project for building neural networks. Again - mainly intended to do tensor calculations.

			Gluon:
			* [[Gluon]] is an API for MXNet intended to provide a higher-level API to enable rapid prototyping.

	=Neural Network Datasets=		=Neural Network Datasets=

Admin: /* Neural Network Libraries */

2017-10-14T21:36:44Z

Neural Network Libraries

← Older revision		Revision as of 21:36, 14 October 2017
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	* [[Keras]] - neural network library with high-level API to enable rapid prototyping		* [[Keras]] - neural network library with high-level API to enable rapid prototyping
			* [[Theano]] - similar in spirit to TensorFlow, Theano is a library intended for tensor calculations. It is not Google-sponsored.
	* [[TensorFlow]] - neural network with low-level C++ implementation, and high-level Python API, enabling it to run on a variety of hardware kernels		* [[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		* [[MXNet]] - Apache project for building neural networks
	* [[Gluon]] - API for MXNet intended to provide a higher-level API to enable rapid prototyping		* [[Gluon]] - API for MXNet intended to provide a higher-level API to enable rapid prototyping

Admin: /* Data Engineering Pipelines */

2017-10-14T21:36:00Z

Data Engineering Pipelines

← Older revision		Revision as of 21:36, 14 October 2017
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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




			=Flags=

			[[Category:ML]]
			[[Category:NN]]
			[[Category:Data Engineering]]

Admin: /* Data Engineering Pipelines */

2017-10-14T20:20:55Z

Data Engineering Pipelines

← Older revision		Revision as of 20:20, 14 October 2017
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	Software related to building neural network pipelines:		Software related to building neural network pipelines:
	* https://github.com/mila-udem/fuel ~~- fuel is a library for creating machine learning 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/mila-udem/blocks - blocks
	* 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

Admin: /* Data Engineering Pipelines */

2017-10-14T20:20:06Z

Data Engineering Pipelines

← Older revision		Revision as of 20:20, 14 October 2017
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	Software related to building neural network pipelines:		Software related to building neural network pipelines:
	* https://github.com/dribnet/kerosene - kerosene ~~is a~~		* https://github.com/mila-udem/fuel - fuel is a library for creating machine learning pipelines
			* https://github.com/mila-udem/blocks - blocks
			* https://github.com/dribnet/kerosene - kerosene
			* https://github.com/dribnet/chips - blocks/fuel helpers

Admin: Created page with "=Neural Network Libraries= * Keras - neural network library with high-level API to enable rapid prototyping * TensorFlow - neural network with low-level C++ implement..."

2017-10-14T20:15:49Z

Created page with "=Neural Network Libraries= * Keras - neural network library with high-level API to enable rapid prototyping * TensorFlow - neural network with low-level C++ implement..."

New page

=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:
* https://github.com/dribnet/kerosene - kerosene is a