Is knowledge of probability useful to understand the theory of Deep Learning, or do other perspectives work?

This page summarizes the projects mentioned and recommended in the original post on /r/deeplearning
Clojure Deep Learning deep-neural-networks GPU Cuda

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • deep-diamond

    A fast Clojure Tensor & Deep Learning library

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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