Another exquisit release
Packt.TensorFlow.for.Beginners-XQZT
Title: TensorFlow for Beginners
Publisher: Packt
Size: 6.2G (6639846262 B)
Files: 133F
Date: 04/11/2018
Course #: 9781789344288
Type: N/A
Published:
Modified: N/A
URL: www.packtpub.com/application-development/tensorflow-beginners-video
Author: Eduonix Learning Solutions
Duration: 4 hours and 8 minutes
Skill: N/A
Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Notes:
Get your hands on the latest and easiest TensorFlow course.
Devices are getting smarter thanks to machine learning and
artificial intelligence, and that is definitely going to
continue. Machines are going to continue getting better and
evolve, making tasks easier for humans. With machine learning and AI
in the picture, the role of TensorFlow is unavoidable.
TensorFlow is an open-source library that is commonly used for
data flow programming. It also includes a symbolic math library
that can be used for machine learning applications and neural
networking. TensorFlow was built by the Google Brain Team for
their internal development needs on AI and ML, before it was
released to the public.However, it’s currently playing a huge role
in helping technology advance to the next level. This makes
TensorFlow a powerful technology to learn and master and this is
exactly why we have designed this no-nonsense and no-fuss
course. Unlike other courses that focus on just the basics, we’ve
actually designed a full guide-based course to help you not only
understand the fundamentals, but also learn the practical
applications of TensorFlow. We’ve created this tutorial to show you
the ins and outs of TensorFlow, including the foundation, life
cycle, TensorBoard and so much more. The course starts with a
detailed introduction into TensorFlow and its basics,
including delving into the TensorFlow foundation. It also covers
the machine learning life cycle, TensorBoard, logical
regression, neural network basics, single and multiple hidden
layer neural networks, convolutional neural networks, deep
learning, and so much more! In the last section of the course,
you’ll use everything you’ve learned throughout the course to
build an actual project from scratch. So, what are you waiting
for? Enroll now and get started with building your very own
neural networks with TensorFlow.