Our TensorFlow training course for Deep Learning will give delegates a comprehensive introduction to this Google open-source software library, used by data science professionals for numerical computation using data flow graphs.
Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.
The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organisation for the purposes of conducting Machine Learning and Deep Neural Networks research. The system is general enough to be applicable in a wide variety of other domains as well.
The course is aimed at delegates with a Mathematical and/or Data Science/ML background.
Good programming knowledge, especially using the Python programming language.
Some experience and familiarity with the Pandas, Numpy and MatPlotLib python libraries for data analysis.
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