#9 Live: Teachable Machine, Training a Sketch Classifier, and Electron with React & TypeScript

Описание: 🤖 Training an image classifier live with Google's Teachable Machine.
💬 Join the conversation on Discord   / discord  
🧠 Machine Learning Series:    • 🧠 Machine Intelligence  
🔴 Live Streams:    • 🧠 Live Streams  

🍃 Getting Simple: https://gettingsimple.com
🎙 Podcast: https://gettingsimple.com/podcast
🗣 Ask Questions: https://gettingsimple.com/ask
💬 Discord:   / discord  
👨🏻‍🎨 Sketches: https://sketch.nono.ma
✍🏻 Blog: https://nono.ma
🐦 Twitter:   / nonoesp  
📸 Instagram:   / nonoesp  

0:00 Start
2:16 Intro
4:40 Let's code!
5:00 TensorFlow.js
8:00 [ Interlude ]
9:30 TensorFlow.js Demos
10:14 Teachable Machine Video
13:30 Teachable Machine 2.0
14:55 What's Google Coral?
16:15 Inspecting Colab available devices
18:34 What's Framer?
19:17 Intro to Teachable Machine
21:50 Preparing your dataset
24:15 Training a Sketch Classifier with Teachable Machine
27:05 Training your model
27:18 [ Interlude ]
28:32 Testing your model
38:30 Saving your Teachable Machine Project
39:06 The Export Model panel
40:20 Understanding the saved format of Teachable Machine
46:54 [ Break ]
54:20 How to make a GIF with ImageMagick
1:08:10 Teachable Machine's source code and deploying to Glitch
1:10:18 Uploading your model as TensorFlow.js to the web
1:13:30 It's MobileNet!
1:16:18 Exporting your model to TFJS, TF Core, Keras, and TFLite
1:19:07 TensorFlow.js model format
1:20:14 Keras, SavedModel, and TFLite formats
1:21:40 Let's test our model in Colab!
1:30:30 What's Netron?
1:35:12 [ Fail ] Testing the TensorFlow.js model on your website
1:39:42 Visualize models with Netron
1:44:15 [ Break ]
1:46:25 The Electron, TypeScript & React template
1:53:19 Outro
1:54:35 Packaging our Electron app for macOS
1:57:50 [ Question ] Have you played with TensorFlow Lite on microcontrollers?
1:58:31 Thanks!