POLITEKNIK NEGERI ELEKTRONIKA SURABAYA (pens)
In this course we will discover what Artificial intelligence- Tensorflow is, and how AI is being implemented in both industry and research. Along with a conceptual look at Artificial Intelligence, we will expand on intrinsic components of building an Artificial solution using Tensorflow. By the end of the course, participants will be able to Explain the concept of Artificial Intelligence, Explain the AI implementation, Use AI and create a solution using Tensorflow. The training is held for 5 days with 3 participants who are experts in their fields
schedule
Day 1 - 23rd December 2021
Day 1 - Primer to deep learning
Learning Materials:
● Introductory Slide: Deep learning and perceptron intuition
● MIT’s Introduction to deep learning
● Code Notebook: Making our first neural network
Day 2 - 25th December 2021
Day 2 - Deep learning for visual recognition
Learning Materials:
● MIT’s Deep Computer Vision
● Code Notebook: Building a shallow image classification model
Day 3 - 26th December 2021
Day 3 - Deep learning for audio signals
Learning Materials:
● Deep learning for audio signals
● Code Notebook: Building a speech command recognition model
Day 4 - 3rd and 5th January 2022
Day 4 - Smaller and faster model for edge devices
Learning Materials:
● Smaller and faster model for edge devices
● Code Notebook: Compressing large pre-trained model with knowledge distillation
Day 5 - 15th January 2022
Day 5 - Serving our deep learning models
Code Notebook:
● Serving our models to TF-Lite and ONNX
● Deploying our models to Jetson Nano