Deep Learning with TensorFlow 2.0 in 7 Steps

Online Course

Udemy

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Prerequisites & Facts
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What is the course about?

Deep Learning with TensorFlow 2.0 in 7 Steps

The course Deep Learning with TensorFlow 2.0 in 7 Steps is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Seven short lessons and exercises to get you started with deep learning using TensorFlow 2.0 faster than other courses!

Course description

Deep Learning with TensorFlow 2.0 in 7 Steps

Set up a conda environment for training models
Learn the basics of machine learning and deep learning to help you cut through the jargon
Learn about high-level TensorFlow 2.0 APIs so that you can quickly train your own models
Import data into your models for building real-world applications
Build APIs for software applications to make use of your model in production

Previous programming knowledge of Python is a must-have to take advantage of the content in this course.

2.5 hours on-demand video
1 downloadable resource
Full lifetime access
Access on mobile and TV
Certificate of Completion
Packt Publishing

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Prerequisites & Facts

Deep Learning with TensorFlow 2.0 in 7 Steps

Course Topic

Data Science, Development, Python

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Deep Learning with TensorFlow 2.0 in 7 Steps

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Deep Learning with TensorFlow 2.0 in 7 Steps

provided by Udemy

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