AI Raspberry Pi Course: Deploying Intelligent Projects on the Edge (English Edition) pdf baixar
por JOHN R. TAYLOR
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Descrição do livro
AI Raspberry Pi Course: Deploying Intelligent Projects on the Edge re you ready to move your machine learning models off the cloud and into the real world? The vast majority of modern AI is slow, expensive, and dependent on a stable internet connection. This course is your hands-on guide to mastering Edge Computing—the high-demand skill of deploying fast, private, and autonomous intelligence directly onto low-cost devices like the Raspberry Pi. This is not a theoretical introduction. Over 5 intensive modules, you will master the end-to-end pipeline, transforming your Raspberry Pi into a high-performance Neural Processing Unit (NPU) capable of real-time decisions. 🧠 Model Optimization: Learn to use TensorFlow Lite (TFLite) and INT8 Quantization—the secret sauce for reducing multi-gigabyte models into resource-friendly files that run instantly on the Pi's CPU. 👁️ Project 1: Real-Time Vision System: Implement a custom object detection system using the RPi Camera Module. Learn to capture live video, run sub-100ms inference, and trigger physical actions via GPIO pins (e.g., flash an LED when a specific object is seen). 🎧 Project 2: Acoustic Event Classifier: Pivot to non-visual AI. Build a system that monitors ambient audio, using techniques like MFCCs to detect and classify specific sounds (e.g., glass breaking, emergency alarms) in real-time. ⚙️ Reliable Deployment: The most crucial step. Learn how to convert your projects into stable, professional systemd services that run automatically upon boot and monitor themselves, ensuring 24/7 reliability. This course is ideal for intermediate Python developers, hardware enthusiasts, and data scientists who are: Familiar with basic Raspberry Pi setup (Module 1 covers refresher). Comfortable with fundamental Python programming and NumPy. Eager to move from academic machine learning to practical Industrial IoT and smart home applications. The future of computing is at the Edge. Enroll now and unlock the power of true, autonomous intelligence.
Stop Coding Abstract AI. Start Building Smart Hardware.
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