Note from author:

This course is your ‘local author’ for Deep Learning. The course is designed in a way for students to have a perfect kick-off towards building a career in Data Science. There are practical examples of applications using Deep Learning meeting industry standards. Having experience as a Data…

It is important to calculate the over all time taken for the system to run a DL pipeline.

Objective : To add start and end time to a Deep Learning code.

# start time - to be added at the beginning of code
print ("[STATUS] start time - {}".format("%Y-%m-%d %H:%M")))
start = time.time()
# end time - to be added at the end of code
end = time.time()
print ("[STATUS] end time - {}".format("%Y-%m-%d %H:%M")))

Decision Tree is a tree shaped algorithm used to determine a course of action. Each branch of the tree represents a possible decision, occurrence or reaction.

Information Theory:

Information Theory is the fundamentals of decision trees. In order for us to understand Decision Tree algorithm, we need to understand Information Theory.


Rakesh TS

Machine Learning,Deep Learning, Computer vision blogger |

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