Deep learning accelerators comparable to GPUs, FPGAs, and extra just lately TPUs. Particular constraints, challenges, and attributes which might be unique to cell and embedded methods are explored. The role and capabilities of such compact systems in right now’s world is analyzed, with detailed reference to available processing pace, storage and energy consumption. College students achieve data of sensors and actuators, their operational parameters and traits. Strategies for interfacing, sampling, and controlling the gadgets are studied, including polled vs. interrupt pushed, D to A and A to D conversions and easy digital vs. PWM outputs. Practical lab exercises include interfacing to real world units utilizing a small embedded development board and utilizing a smartphone to provide the UI and control.