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商品描述
From an exciting array of low-cost hardware to more plug-and-play training modules, itÃ?Â[ s easier than ever for makers to incorporate machine learning into personal projects. In the new issue of Make: (Vol. 77), we take a look at new tools you can use to train AI modules right now like Tensor Flow, Edge Impulse, and Lobe, and show how to use frameworks like Tensor Flow Lite to squeeze trained AI onto a Raspberry Pi or Arduino.
Our cover story details how to make an AI-empowered artificial nose that can sort coffee from tea, or identify whatever else you train it to smell. Next in this section we show: how to build a teddy bear that listens and Tweet-shames you when it hears a swear word, how to make a trash-sorting camera using Lobe and Raspberry Pi, and how to monitor your 3D printer for failed prints with an AI watchdog.
Plus, get the inside scoop on Tesla coil-powered band ArcAttackÃ?Â[ s new mini musical coil kit.
Also find 23 projects inside, including:
- Track meteors entering the atmosphere with a Raspberry Pi
- Modify a vintage iPod to stream music from Spotify
- Make an animated light-up skirt with 120 hidden full-color LEDs that respond to your movements
- Add some arctic ambience to your home with a quick Arduino-powered Aurora Borealis light setup
- And much more!
商品描述(中文翻譯)
從一系列令人興奮的低成本硬體到更即插即用的訓練模組,製作者們比以往任何時候都更容易將機器學習融入個人專案。在新一期的《Make:》(第77卷)中,我們將探討您現在可以使用的新工具來訓練 AI 模組,例如 TensorFlow、Edge Impulse 和 Lobe,並展示如何使用像 TensorFlow Lite 這樣的框架將訓練好的 AI 壓縮到 Raspberry Pi 或 Arduino 上。
我們的封面故事詳細介紹了如何製作一個能夠區分咖啡和茶的 AI 驅動人工鼻,或識別您訓練它嗅聞的其他物品。在這一部分中,我們還展示了:如何製作一個聽話的泰迪熊,當它聽到髒話時會對您進行 Twitter 羞辱,如何使用 Lobe 和 Raspberry Pi 製作一個垃圾分類相機,以及如何使用 AI 監視器監控您的 3D 打印機以防止打印失敗。
此外,還可以獲得有關 Tesla 線圈驅動樂隊 ArcAttack 新迷你音樂線圈套件的內幕消息。
還有 23 個專案,包括:
- 使用 Raspberry Pi 追蹤進入大氣層的流星
- 修改一台復古 iPod 以從 Spotify 串流音樂
- 製作一條帶有 120 顆隱藏全彩 LED 的動畫發光裙子,能夠根據您的動作做出反應
- 使用快速的 Arduino 驅動極光燈光設置為您的家增添一些北極氛圍
- 還有更多!