TinyML Video Tutorial Quiz

What is a key characteristic of TinyML that differentiates it from traditional machine learning?

• It is slower than traditional machine learning.

• It is only used for voice assistants.

• It requires large data centers.

• It operates on-device at the data source.

Which of the following is NOT mentioned as a use case for TinyML?

• Smart home appliances

• Medical devices

• Wildlife conservation

• Space exploration

What is the focus of the second course in the TinyML professional certificate program?

• Deploying TinyML

• Advanced machine learning algorithms

• Foundations of embedded computing

• Applications of TinyML

Which technology is used in the final course of the TinyML program to write machine learning code?

• TensorFlow Lite for microcontrollers

• PyTorch

• Keras

• Scikit-learn

What future potential of TinyML is highlighted in the video?

• Developing faster processors

• Creating large data centers

• Using smart, biodegradable sensors

• Building more complex algorithms