Machine Learning using Raspberry Pi: AlphaGo Edition

The video tutorial discusses the challenges and solutions for using complex AI systems on mobile devices like phones and tablets. It introduces methods such as federated learning and model scaling to fit AI models on smaller devices, specifically using a Raspberry Pi. The tutorial provides a step-by-step guide to setting up a Raspberry Pi, installing TensorFlow Lite, and running a scaled-down version of the AlphaGo model. It also covers training models directly on the Raspberry Pi, highlighting the importance of understanding the algorithm's code.

What is one of the main challenges of using AI systems on devices like phones?

• Lack of internet connectivity

• High cost of devices

• Limited computational power

• Limited storage capacity

What is a Raspberry Pi?

• A type of fruit

• A small computer

• A smartphone

• A gaming console

What is the purpose of an Edge TPU accelerator?

• To improve internet speed

• To enhance computational efficiency

• To reduce device size

• To increase battery life

Which library is used to reformat TensorFlow models for Raspberry Pi?

• Keras

• Scikit-learn

• TensorFlow Lite

• PyTorch

What is Mini Go?

• A version of the Go game

• A type of Raspberry Pi

• A TensorFlow Lite version of AlphaGo

• A new programming language

What is the benefit of using a virtual environment?

• It improves screen resolution

• It increases internet speed

• It allows for separate code libraries

• It enhances battery life

How does the Mini Go algorithm decide its next move?

• By analyzing potential moves and responses

• By random selection

• By following a fixed pattern

• By copying the opponent's moves