This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Simplified Interface for TensorFlow for Deep Learning

Project Description
WARNING: We are not maintaining PyPi package anymore. Please install TensorFlow and install Scikit Flow from there.

This is a simplified interface for TensorFlow, to get people started on
predictive analytics and data mining.

Library covers variety of needs from linear models to Deep Learning
applications like text and image understanding.

Why TensorFlow?

- TensorFlow provides a good backbone for building different shapes of machine learning applications.
- It will continue to evolve both in the distributed direction and as general pipelinining machinery.

Why Scikit Flow?

- To smooth the transition from the Scikit Learn
world of one-liner machine learning into the more open world of building
different shapes of ML models. You can start by using fit/predict and
slide into TensorFlow APIs as you are getting comfortable.
- To provide a set of reference models that would be easy to integrate with existing code.
Release History

Release History

This version
History Node

0.1.0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
skflow-0.1.0.tar.gz (35.1 kB) Copy SHA256 Checksum SHA256 Source Feb 14, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting