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20 March 2021
Machine and deep learning capabilities are in demand, and Python is the fastest-growing tool in machine and deep learning. TensorFlow is a Python library for fast numerical computing created and released by Google that is used in deep learning and primarily focuses on neural networks. This session will focus on a hands-on approach to using Python and TensorFlow. We will start with an introduction to TensorFlow and provide examples of autoencoders, convolutional neural networks (CNN), and recurrent neural networks (RNN).
Intermediate Python programming.
Data engineers, data scientists, and programmers; those looking to get a foundation in deep learning.
How to set up and configure Anaconda
How to use regression in TensorFlow
How to use classification in TensorFlow
Overview of autoencoders
How to structure and apply CNN models
How to structure and apply RNN models
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