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The learning method is facilitated across a number of ML frameworks and resources. The challenge of choosing the best platform in order to data analytics flow sharing can also be achieved from alternative viewpoints challenging despite the growing amount of such toolkits. There is generally no one toolkit that completely suits all challenges (Table 1.6) and includes remedies. Some of the toolkits available could overlap, with benefits and drawbacks.

Table 1.6 Difference between deep learning and machine learning tools [56].

Tool	Creator	OS	Open source?	Written In	Interface	CUDA support?	Algorithms	Release date
Tensor Flow	Google Brain team	Linux. Mac OS X (Windows support on road map	Yes	C++, Python	Python, C/ C++	Yes	Deep learning algorithm: RNN, CN, RBM and DUN.	Novembeir 2015
Theano	Universit de Montral	Cross-platform	Yes	Python	Python	Yes	Deep learning algorithm: RNN, CN, RBM and DBN.	September 2007
H20	H20.ai	Linux, Mac OS, Microsoft Windows And Cross-platform inch Apache HDFS; Amazon EC2, Google Compute Engine, and Microsoft Azure.	Yes	Java, Scala, Python, R	Python, R	No	Algorithms for classification, clustering, generalized linear models, statistical analysis, ensembles, optimization tools, data pre-processing options and deep neural networks.	August 2011
Deeplearning4j	Various. Original author Adam Gibson	Linux, OSX, Windows, Android, CyanogenMod (Cross-platform)	Yes	Java, Scala, C, CUDA	Java, Scala, CIo-jure	Yes	Deep learning algorithms including: RBM, DBN. RNN. deep autoencoder	August 2013
MLlib Spark	Apache Software Foundation. UC Berkeley AMPLab, Databricks	Microsoft Windows, OS X, Linux	Yes	Scala. Java, Python, R	Scala, Java, Python. R	No	Classification, regression, clustering, dimensionality reduction, and collaborative filtering	May 2014
Azure	Dave Cutler from Microsoft	Microsoft Windows, Linux	No	C++	C++, Java. ASP.NET, PHP. Nodejs, Python	Yes	Classification, regression, clustering	October 2010
Torch	Ronan Collobert, Koray Kavukcuoglu, Clement Farabet	Linux. Android, Mac OS XTiOS	Yes	C, Lua	Lua, LuaJlT. C, utility library for C++/ OpenCL	Yes	Deep algorithms	October 2002
MOA	University of Waikato	Cross-platform	Yes	Java	GUI, the commandline. and Java	No	ML algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems)	November 2014
Caffe	Berkeley Vision and Learning Center. community contributors	Ubuntu, OS X, AWS, unofficial Android port, Windows support by Microsoft Research, unofficial Windows port	Yes	C++, Python	C++, command line. Python, MATLAB	Yes	Deep learning algorithms: CN, and RNN	December 2012