Practical Projects with Keras 2.X

Online Course

Udemy
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Practical Projects with Keras 2.X
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Practical Projects with Keras 2.X
The course Practical Projects with Keras 2.X 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.

Explore deep learning and neural network methodologies with Keras 2.x

Course description
  • Practical Projects with Keras 2.X
  • Apply regression methods to your data and understand how the regression algorithm works
  • Import and organize data for neural network classification analysis
  • Solve a regression problem through the least squares algorithm
  • Use a classification algorithm to predict the outcome of an event
  • Train, test, and deploy a model in Keras environment
  • Sound knowledge of machine learning and basic familiarity with Keras library is essential to quickly grasp the concepts explained in this course.
  • 3 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

Practical Projects with Keras 2.X

Course Topic

Automation, Development, Development Tools

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

Practical Projects with Keras 2.X

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.
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Practical Projects with Keras 2.X
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School: Udemy
Topic: Business, Data Analytics, Keras

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