🤖 Let's write a custom linear regression model (and use a pre-trained ResNet network) in a web browser with TensorFlow.js. Watch this to get an overview of using HTML & JavaScript to write front-end code and create web-based interactive apps.
🤖 Code https://github.com/nonoesp/live/tree/...
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🧠 Machine Learning Series: • 🧠 Machine Intelligence
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0:00 Start
3:03 Intro
4:03 PEmbroider
5:42 Let's code
7:03 PEmbroider on GitHub
11:52 Live 11
14:08 TensorFlow Hub
18:04 Glitch
21:26 Website Development 101 - HTML JavaScript
24:58 Adding TensorFlow.js to our Website
27:01 Inspecting Browser Network Calls
34:02 Using the Browser JavaScript Console
38:44 Node.js REPL
39:40 Python REPL
40:50 TensorFlow.js in the Console
50:04 Linear Regression in TensorFlow.js
53:25 Define Your Model
1:00:28 Define Your Training Data
1:01:01 Train Your Model
1:07:28 Add a Callback After Each Training Epoch
1:09:57 Training Callbacks
1:15:34 Understanding our Linear Input Data
1:18:11 Training Results
1:27:04 Request Predictions from Your Trained Model
1:41:07 Adding More Data to Converge Faster
1:44:06 Loading ResNet50 from TensorFlow Hub with TF.js
2:01:01 Pushing Today's Code to GitHub
2:10:15 Next Week
2:13:22 Outro
Watch video #11 Live: Training Models in TensorFlow.js, Web Coding 101 & Loading ResNet50 from TensorFlow Hub online without registration, duration hours minute second in high quality. This video was added by user Nono Martínez Alonso 01 January 1970, don't forget to share it with your friends and acquaintances, it has been viewed on our site 31 once and liked it 1 people.