Beginning Application Development with TensorFlow and Keras

Online Course

Udemy

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

Beginning Application Development with TensorFlow and Keras

The course Beginning Application Development with TensorFlow and Keras 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.

Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

Course description

Beginning Application Development with TensorFlow and Keras

Learn ways to select the right model architecture
Make predictions with a trained model and work with TensorBoard
Evaluate metrics and techniques to deploy a model as a web application
Set up a deep learning programming environment
Explore components of a neural network and its essential operations

We assume that you are familiar with Python and have a basic knowledge of web application development.

4.5 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

Beginning Application Development with TensorFlow and Keras

Course Topic

Data Science, Development, TensorFlow

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

Beginning Application Development with TensorFlow and Keras

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

Beginning Application Development with TensorFlow and Keras

provided by Udemy

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