1. When measuring a model's inference speed, should you measure with single or multiple images?

Multiple images should be used to avoid measure bias.

2. Is a model with float32 weights larger or smaller than one with float16 weights?

Float16 weights use about half the space of float32 weights. On compatible devices, they can also be faster.

3. On iOS devices, should you use Core ML or TensorFlow Lite? What about Android devices?

On iOS devices, we recommend using Core ML where possible as it is available natively and is tightly integrated with the hardware. On Android devices, TensorFlow Lite should be used as there is no alternative.

4. What are the benefits and limitations of running a model in the browser?

It does not require any installation on the user side and does not require computing power on the server side, making the application almost infinitely scalable.

5. What is the most important requirement for embedded devices running deep learning algorithms?

On top of...