0

Using Google’s Colaboratory and Raspberry Pi for DIY Machine Learning Applications | #python #piday #raspberrypi @Raspberry_Pi

Building computation models in Colaboratory is quite intuitive and can be developed using a Raspberry Pi 3 B+. The Raspberry Pi 3 B+ has enough processing and wireless capabilities available to easily manage the machine learning applications built in Colaboratory: a 1.4GHz, 64-Bit quad-core ARM Cortex – A53 processor; dual-band wireless Local Area Network (LAN); and Bluetooth 4.2/ BLE features.

There are two toolbars in Colaboratory that provide the functionality features of the notebook. The first toolbar consists of File, Edit, View, Insert, Runtime, Tools, and Help. The second toolbar located below the first one has Code, Text, Cell(up), and Cell(down). The Hello Colaboratory website has a variety of example interactive notebooks to explore programming concepts, functions, and features. New code and text notebooks can be created by selecting these keywords in the second toolbar.

Upon selection of the document type, a blank notebook will be created and display on your computer monitor’s screen. I created a simple Python counter using the “for-loop” instruction. Also, a method of displaying or printing a range of numbers from the Python counter using the “list” instruction was implemented within Colaboratory notebook.

With the support of the iPython kernel supporting a variety of programming languages, data plots can be implemented by importing the matplotlib library. Python or a supporting programming language complements the graphical plotting feature.

Read more.


3055 06Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!


Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, or even use Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for MakeCode, CircuitPython, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.

Join 8,500+ makers on Adafruit’s Discord channels and be part of the community! http://adafru.it/discord

CircuitPython – Python on Microcontrollers is here!

Have an amazing project to share? Join the SHOW-AND-TELL every Wednesday night at 7:30pm ET on Google+ Hangouts.

Join us every Wednesday night at 8pm ET for Ask an Engineer!

Follow Adafruit on Instagram for top secret new products, behinds the scenes and more https://www.instagram.com/adafruit/


Maker Business — Rethink Robotics closes shop. Long live collaborative robots #makerbusiness

Wearables — Cleaning is key

Electronics — Serial overkill

Biohacking — Biohacking Resources – Books, Talks and Podcasts

Python for Microcontrollers — CircuitPython @ Hackaday SuperCon #ICYMI @circuitpython @micropython @ThePSF #Python

Get the only spam-free daily newsletter about wearables, running a "maker business", electronic tips and more! Subscribe at AdafruitDaily.com !



No Comments

No comments yet.

Sorry, the comment form is closed at this time.