CEC Semester Seventeen 2020
Writing Neural Network Code: Introduction to TensorFlowHands-On
Charles J. Lord -
May 11,
2020
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 programming breakthroughs that eventually allowed the practical application of ANNs in real-world applications.
Course Resources
Special Educational Materials
Getting Started with NVIDIA Jetson Nano Part 2: Image Classification - Maker.io Tutorial Digi-Key Electronics - Video
Itsy Bitsy M0 Express - ATSAMD21 Cortex M0 Reference DesignsIntro to TensorFlow Lite Part 3: Speech Recognition on Raspberry Pi Digi-Key Electronics - Video
May 12,
2020
Neural Network Simulation and Programming
Many common programming languages have been used over the years to program neurons and complete ANNsfrom Lisp to Python to C++. Other specialized languages have been used including TorchKerasand of course TensorFlow. Building on our first classwe will look at the various programming techniques that have been used to definetraintestand deploy ANN-based applications.
Course Resources
Special Educational Materials
Getting Started with NVIDIA Jetson Nano Part 2: Image Classification - Maker.io Tutorial Digi-Key Electronics - Video
Itsy Bitsy M0 Express - ATSAMD21 Cortex M0 Reference DesignsIntro to TensorFlow Lite Part 3: Speech Recognition on Raspberry Pi Digi-Key Electronics - Video
May 13,
2020
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 and examine the basic Hello World of TensorFlow as well as look at some of the other common learning tools to acquaint ourselves with the tool and development environments.
Course Resources
Special Educational Materials
Getting Started with NVIDIA Jetson Nano Part 2: Image Classification - Maker.io Tutorial Digi-Key Electronics - Video
Itsy Bitsy M0 Express - ATSAMD21 Cortex M0 Reference DesignsIntro to TensorFlow Lite Part 3: Speech Recognition on Raspberry Pi Digi-Key Electronics - Video
May 14,
2020
TensorFlow Hands-On Part 2: Defining and Building Your Network
Now that we have acquainted ourselves with TensorFlow and the development environmentin this penultimate class we will look at how we can take the ANN definitions we worked with early in the week and program them into our own networks.
Course Resources
Special Educational Materials
Getting Started with NVIDIA Jetson Nano Part 2: Image Classification - Maker.io Tutorial Digi-Key Electronics - Video
Itsy Bitsy M0 Express - ATSAMD21 Cortex M0 Reference DesignsIntro to TensorFlow Lite Part 3: Speech Recognition on Raspberry Pi Digi-Key Electronics - Video
May 15,
2020
TensorFlow Hands-On Part 3: Teaching and Testing and Conclusion
For our last classwe will look at how we can use data science to gather our models for training and testing then use those data sets to carry out those tasks. We will cover some of the principles of how to divide our data sets between the training and testing tasks as well as ways of using the training results to tweak our network design. We will end our class by looking at some of the chip-specific implementations of TensorFlow to build ANNs for our desired target processors.
Course Resources
Special Educational Materials
Getting Started with NVIDIA Jetson Nano Part 2: Image Classification - Maker.io Tutorial Digi-Key Electronics - Video
Itsy Bitsy M0 Express - ATSAMD21 Cortex M0 Reference DesignsIntro to TensorFlow Lite Part 3: Speech Recognition on Raspberry Pi Digi-Key Electronics - Video
Instructor
Charles J. Lord