Transcription of TensorFlow - Tutorialspoint
{{id}} {{{paragraph}}}
Example: bankruptcy
TensorFlow - Tutorialspoint
TensorFlow i TensorFlow i About the Tutorial TensorFlow is an open source machine learning framework for all developers. It is used for implementing machine learning and deep learning applications. To develop and research on fascinating ideas on artificial intelligence, Google team created TensorFlow . TensorFlow is designed in Python programming language, hence it is considered an easy to understand framework. Audience This tutorial has been prepared for python developers who focus on research and development with various machine learning and deep learning algorithms.
Identifies relevant data sets and prepares them for analysis. Chooses the type of algorithm to use. Builds an analytical model based on the algorithm used. Trains the model on test data sets, revising it as needed. Runs the model to generate test scores. Difference between Machine Learning and Deep learning
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: