Beyond MNIST Example: Practical Convolutional NNs

Online Course

Udemy

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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

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Prerequisites & Facts

Beyond MNIST Example: Practical Convolutional NNs

Course Topic

Artificial Intelligence, Data Science, 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

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.

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Beyond MNIST Example: Practical Convolutional NNs

provided by Udemy

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