動画検索
関連広告
検索結果
Introduction
Gene Kogan's examples
feature extractor documentaiton page
Let's code!
Training our own labels
addImage() and label
Apply a trainig set
classifier.train()
loss/cost function
When do you stop training?
Classify.results()
Training the model to recognize facial expressions
context is important
Pong ML
Saving the model
Introduction
Errors in previous video
Review training with pixels
Update to the ml library
Specifiy the task: image classification
Specify the characteristics of the data
Adjust addExample function
Train the model
Debugging: loss is not decreasing
normalizeData()
Why use the convolutional neural network in ml5?
Mask versus No mask
Defining custom layers
Start!
Introduction
Processing ml5.js Fellowships
Setting Up
Coding Challenge start
Planning what to do
Training the Model
Adding graphics
Connecting To OBS Studio
Using OBS Virtual Camera
Sending OBS output to Zoom
Showing a web browser on OBS
Training more gestures
Adding more images and videos
Showing the results
Conclusions and goodbyes