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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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Customize A Course
We will be happy to assist you for inquiries about a customized scheduled or program:
