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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHED -----·> Packt Publishing
·-- LECTURESHIP ---·> Learning Path: TensorFlow: The Road to TensorFlow
Second Edition
·-- LECTURE DATE --·> 05-2017
04-2017 {Published}
·-- LEVEL ---------·> [ ] Starting {Beginner|Newcomer}
[■] Progressing {Intermediate|Advanced}
·-- PERIOD in HRS--·> 10+
·-- SCALE ---------·> 41x50mb
·-- LECTURE LINK --·> https://goo.gl/WgwuYw
This path navigates across the following products
(in sequential order):
Mastering Python - Second Edition (5h 21m)
Deep Learning with Python (1h 45m)
Deep Learning with TensorFlow (2h)
Machine Learning with TensorFlow (1h 14m)
It can be hard to get started with machine learning, particularly as new
frameworks like TensorFlow start to gain traction across enterprise
companies. TensorFlow is an open source software library for numerical
computation using data flow graphs. 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.
This Learning Path begins by covering everything you need to know about
Python. We then move on to understand deep learning as implemented by
Python and TensorFlow. Finally, we solve common commercial machine
learning problems using TensorFlow.
If you have no prior exposure to one of the most important trends
impacting how we do data science in the next few years, this Learning
Path will help you get up to speed.