Beyond MNIST Example: Practical Convolutional NNs

Online Course

Udemy
Beyond MNIST Example: Practical Convolutional NNs

What is the course about?

Beyond MNIST Example: Practical Convolutional NNs
The course Beyond MNIST Example: Practical Convolutional NNs 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.

If you are tired of not going further step after watching MNIST Tutorial, you are welcome!

Course description
  • Beyond MNIST Example: Practical Convolutional NNs
  • Enrolled students can easily code all the subprocesses of convolutional neural network.
  • Enrolled students can distinguish the problem of not-working Convolutional Neural Networks.
  • Enrolled students can apply several solutions for the loading images on Python.
  • Enrolled students can understand and apply transfer learning.
  • Enrolled students can diagnose imbalanced dataset problem.
  • Python
  • Entry Level of Knowledge of Convolutional Neural Networks
  • Entry Level of Knowledge of Keras
  • 6.5 hours on-demand video
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Mehmet Burak SAYICI

Prerequisites & Facts

Beyond MNIST Example: Practical Convolutional NNs

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

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

Degree

Certificate

Degree & Cost

Beyond MNIST Example: Practical Convolutional NNs

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
Beyond MNIST Example: Practical Convolutional NNs
provided by Udemy

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