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On-Line Electrical Supply Generation Fuel Mix Data Analysis using Python and TensorFlow
(2019-10-01)
In this paper, the Python scripting language and TensorFlow open source platform for machine learning is used to create a software script that can automatically extract electricity supply generation data from an on-line ...
Towards a Malleable Tensorflow Implementation
(Springer, 2020)
TensorFlow Playground
(Universidad Continental, 2019)
Shedding light on variational autoencoders
(2018-10-01)
Deep neural networks provide the canvas to create models of millions of parameters to fit distributions involving an equally large number of random variables. The contribution of this study is twofold. First, we introduce ...