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Tensorflow Solutions for Data

Video Description

Use Tensorflow's capabilities to perform efficient deep learning on Data sets

About This Video

  • Master the different deep learning paradigms and build a real-world project to predict loan performance with table data
  • Create a self-learning model for data generation
  • Your handy guide to mastering deep learning with TensorFlow—with interesting use-cases to ensure a quality learning experience
  • Build practical, real-world, deep learning projects in TensorFlow

In Detail

In this video you'll work with categorical data to predict loan performance. Categorical, structured data often appears in spreadsheets and relational databases, common data sources in business. This technique can be used to effectively predict performance or detect potential fraud.

You will also work with recurrent neural networks, which generate realistic test and placeholder data. This is useful to fill in systems with synthetic test data to simulate load and test the breadth of a working system andpredict one column from the others.