TensorFlow 101: Introduction to Deep Learning

Online Course

Udemy

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Prerequisites & Facts
Cost, Certificate & Degree
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What is the course about?

TensorFlow 101: Introduction to Deep Learning

The course TensorFlow 101: Introduction to Deep Learning 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.

Ready to build the future with Deep Neural Networks? Stand on the shoulder of TensorFlow and Keras for Machine Learning.

Course description

TensorFlow 101: Introduction to Deep Learning

You will be able to build deep learning models for different business domains in TensorFlow
You can distinguish classification and regression problems, apply supervised learning, and can develop solutions
You can also apply segmentation analysis through unsupervised learning and clustering
You can consume TensorFlow via Keras in easier way.
Finally, you will be informed about tuning machine learning models to produce more successful results

Familiar with machine learning concepts
Basic Python

4 hours on-demand video
Full lifetime access
Access on mobile and TV
Assignments
Certificate of Completion
Sefik Ilkin Serengil

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Prerequisites & Facts

TensorFlow 101: Introduction to Deep Learning

Course Topic

Data Science, Deep Learning, Development

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

TensorFlow 101: Introduction to Deep Learning

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

TensorFlow 101: Introduction to Deep Learning

provided by Udemy

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