Udemy – TinyML with Arduino Nano RP2040 Connect 2022-10
Udemy – TinyML with Arduino Nano RP2040 Connect 2022-10 Downloadly IRSpace
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TinyML with Arduino Nano RP2040 Connect Course Tiny Machine Learning (TinyML), designed for battery-powered devices, is broadly defined as an expanding area of machine learning technologies and applications that includes hardware (dedicated integrated circuits), algorithms, and software that can perform sensor data analysis on-device with very low power consumption, typically in the milliwatt range and below. This eliminates the need to send data to the cloud for classification, thus providing greater security. Also, power-hungry processors are replaced with a small microcontroller. Of course, there are limitations. These limitations arise from limited hardware resources, clock speed, etc. However, there are several application areas that do not require a lot of computation and a machine learning-based solution is desirable. In this case, TinyML comes into play. It can be used to detect anomalies in a factory’s machinery, predict maintenance needs for equipment, in the healthcare field, etc. The scope of TinyML’s application is wide and has a bright future.
The main objective of this course is to introduce TinyML development from data collection, model training, testing and deployment. A low-cost Arduino nano RP2040 connect board with 265 KB RAM and 16 MB flash along with accelerometer, gyroscope, microphone, temperature sensor and built-in wireless connectivity module (WiFi+Bluetooth) is used in this course and all the examples shown here have been tested on this board.
What you will learn in the TinyML with Arduino Nano RP2040 Connect course:
- Understanding the hardware requirements for machine learning model development for small microcontrollers
- Understanding the TinyML development framework
- Ability to create gesture-based TinyML projects
- Ability to develop TinyML models with voice keyword recognition
- Ability to create custom classification models using the decision tree classifier from Scikit-learn
This course is suitable for people who:
- They are beginners and are interested in developing machine learning models on low-cost, low-power microcontrollers.
Specifications of the course TinyML with Arduino Nano RP2040 Connect
- Publisher: Udemy
- Instructor: Subir Maity
- Training level: Beginner to advanced
- Training duration: 1 hour and 35 minutes
- Number of lessons: 16
Course syllabus in 2023/7
Prerequisites for the TinyML with Arduino Nano RP2040 Connect course
- Arduino nano-RP2040 connect board, USB cable, PC/Laptop, Basic knowledge about Arduino IDE, basic knowledge of machine learning, basics of embedded C/C++
- To develop model from scratch, you need basic idea of Python, Numpy and Pandas to understand the code. The source code is provided, if you are a beginner in Python, you can easily understand the code. It is well explained in the video.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
592 MB
