With the addition of wireless LAN and Bluetooth, the Raspberry Pi Zero W is ideal for making embedded Internet of Things (IoT) projects . The Pi Zero W has been designed to be as flexible and compact as possible with mini connectors and an unpopulated 40-pin GPIO, allowing you to use only what your project requires.
Read moreDoes PI zero W have Ble?
Introduction. The small-body version of the Raspberry Pi supports Bluetooth 4.1 which also means it’s Bluetooth Low Energy (BLE) compatible . This increases the number of possible devices we can interface with the Raspberry Pi Zero W.
Read moreDoes PI zero W have Ble?
Introduction. The small-body version of the Raspberry Pi supports Bluetooth 4.1 which also means it’s Bluetooth Low Energy (BLE) compatible . This increases the number of possible devices we can interface with the Raspberry Pi Zero W.
Read moreCan TensorFlow Lite running on Raspberry Pi?
Fortunately, there is a lite version of TensorFlow called TensorFlow Lite (TFLite for short) which allows such models to run on devices with limited capabilities . Inference is performed in less than a second. In this tutorial we’ll prepare Raspberry Pi (RPi) to run a TFLite model for classifying images.
Read moreHow is TensorFlow fast?
TensorFlow also has its architecture TPU, which performs computations faster than GPU and CPU . Therefore, models built using TPU can be easily deployed on a cloud at a cheaper rate and executed at a faster rate. However, TensorFlow’s architecture TPU only allows the execution of a model, not to train it.
Read moreCan TensorFlow Lite run TensorFlow models?
Tensorflow Lite Converter converts a Tensorflow model to Tensorflow Lite flat buffer file(. tflite). Tensorflow Lite flat buffer file is deployed to the client, which in our cases can be a mobile device running on iOS or Android or an embedded device.
Read moreHow do I train faster in TensorFlow?
It is based on the ResNet architecture and is fully convolutional.
Read more