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AI Engineer Level 4: Deep Learning with TensorFlow and Keras

Course Outlines

  • Introduction to TensorFlow and Keras.
  • Artificial neural networks (ANN).
  • Convolutional Neural Networks (CNN).
  • Recurrent Neural Networks (RNN).
  • Unsupervised Learning.
  • Autoencoders.

What you'll learn

  • Understand the difference between linear and non-linear regression.
  • Artificial neural networks (ANN) and its applications.
  • Convolutional neural networks (CNN) and its applications.
  • Recurrent neural networks (RNN), autoencoders its applications.
  • Restricted Boltzmann machine (RBM).

Course Content

  • Understand the difference between linear and non-linear regression.
  • Artificial neural networks (ANN) and its applications.
  • Convolutional neural networks (CNN) and its applications.
  • Recurrent neural networks (RNN), autoencoders its applications.
  • Restricted Boltzmann machine (RBM).

Customize a Course

We will be happy to assist you for inquiries about a customized scheduled or program:
Rachael McPherson, Director of Sales
☎(250)882-9549 📧[email protected]
Caroline Santos, Corporate and Custom Sales Manager- Eastern Canada
☎(514)771-3206 📧[email protected]

Course Info

Prerequisites
AI Engineer Master Level 3: Machine Learning
Duration
20 Hours

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For Corporate and Funding Agencies

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Customize A Course
We will be happy to assist you for inquiries about a customized scheduled or program:
Caroline Santos
Corporate and Custom Sales Manager
(Eastern Canada)
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