AIoT system development is based on machine learning and Python deep learning

Mondo Technology Updated on 2024-02-27

My reading notes:

AIoT Overview

This section introduces the basic concepts, application scenarios, and importance of AIoT

Discuss the components of AIoT architecture, including the perception layer, network layer, platform layer, and application layer.

IoT Fundamentals

An introduction to IoT devices, sensors, and actuators.

IoT communication protocols and standards (e.g. MQTT, COAP).

IoT platforms and services.

Fundamentals of Python programming

Fundamentals of the Python language, including data types, control flows, and functions.

Python applications in the Internet of Things, such as micropython and circuitpython.

Machine Learning Fundamentals

The concepts of supervised learning, unsupervised learning, and reinforcement learning.

Introduction to commonly used machine learning algorithms, such as linear regression, decision trees, k-means clustering, etc.

Fundamentals of Deep Learning

The basic principles of neural networks, including forward propagation and backpropagation.

Deep learning architectures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).

Apply machine learning and deep learning in AIoT

Build and train models using Python libraries (e.g., TensorFlow, PyTorch, Keras).

Deploy the trained model to IoT devices.

Implement edge computing, including performing inference on the device.

AIoT Project Practice

Demonstrate how to integrate IoT, machine learning, and deep learning technologies through real-world cases and projects.

Discuss project challenges and best practices, such as data collection, model optimization, and deployment strategies.

Security & Privacy

Discuss security and privacy issues in AIoT systems.

Security measures such as encryption, authentication, and access control are introduced.

Future trends and challenges

*Future trends in AIoT, such as the impact of 5G, 6G, and quantum computing on AIoT

Discuss challenges such as sustainability and ethics.

Conclusion and outlook

The book summarizes the content of the book and puts forward the future development of the AIoT field.

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