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Writing Neural Network Code: Introduction to TensorFlow, Hands-On

May 11, 2020, to May 15, 2020
Continuing Education Center
Digi-Key

Charles J. Lord

Charles J. Lord, PE is an embedded systems consultant and trainer with over 40 years' experience in system design and development in medical, military, and industrial applications. For the last... More

Artificial Intelligence is not a new concept, having been first theorized over a hundred years ago. However, it has only recently been practical due to advancements in massively multiprocessor chips and practical programming tools such as Keras and TensorFlow. In this hands-on class, we will look at the history as well as structure of TensorFlow and learn how to create, train, test, and deploy complete neural network AI solutions both in the cloud and in our edge devices in the IoT.

May 13 - Day 3 - TensorFlow Hands-On Part 1: Hello World!

TensorFlow and its derivatives such as TensorFlow Lite have become one of the prevalent programming environments for developing ANNs. We will look at the development environment for TensorFlow including the use of Jupyter notebooks on Google Colab – no local development system needed! We will build...
May 13, 2020 - 2:00pm EDT

May 12 - Day 2 - Neural Network Simulation and Programming

Many common programming languages have been used over the years to program neurons and complete ANNs, from Lisp to Python to C++. Other specialized languages have been used including Torch, Keras, and of course TensorFlow. Building on our first class, we will look at the various programming...
May 12, 2020 - 2:00pm EDT

May 11 - Day 1 - A Brief History of Artificial Neural Networks

To best understand how Artificial Neural networks (ANN) are used in artificial intelligence (AI), in this leadoff class we will look at the ways that ANNs have been used in theoretical as well as applied applications. The class will start from the first hardcoded neurons through some of the...
May 11, 2020 - 2:00pm EDT
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