Ch 1
Scikit-Learn is very easy to use, yet it implements many machine learning
algorithms efficiently, so it makes for a great entry point to learning machine
learning. It was created by David Cournapeau in 2007, and is now led by a team
of researchers at the French Institute for Research in Computer Science and
Automation (Inria).
• TensorFlow is a more complex library for distributed numerical computation.
It makes it possible to train and run very large neural networks efficiently by distributing
the computations across potentially hundreds of multi-GPU (graphics
processing unit) servers. TensorFlow (TF) was created at Google and supports
many of its large-scale machine learning applications. It was open sourced in
November 2015, and version 2.0 was released in September 2019.
• Keras is a high-level deep learning API that makes it very simple to train and
run neural networks. Keras comes bundled with TensorFlow, and it relies on
TensorFlow for all the intensive computations
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