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Week 5 2019 Spring
Louise Lessél edited this page May 8, 2019
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6 revisions
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Watch these Videos:
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Coding:
- Work on your final project, add you experiment link or blog below.
- Or Train your own style transfer model and run the model in the browser with ml5.js
- Or use Runway's Adaptive-Style-Transfer, Arbitrary-Image-Stylization model to send images to your p5 sketch
- Or train any other models (LSTM, Word2Vec), run the model in the browser.
- Publish your project on github or your own blog, or record a video and put it on your blog. Add your project link below.
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During step 1 preparing your environment, after you add your style image to the
style
folder, you need to commit the changes to git, so the remote spell machine can get access to your changes.$ git add images ckpt $ git commit -m "Added required folders and images"
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When you are on step 3 Training with style.py, you need to choose a GPU machine type, CPU machine wouldn't work.
--machine-type V100 OR --machine-type K80
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On step 4 Converting model to ml5js, you need to install tensorflow on your local computer. See more instruction here. Or you can run these command on spell, so you don't need to install tensorflow locally, after you are done,
spell cp
your model back to your local computer.
- Training a style transfer model with on Spell, github
- Training a style transfer model with on Spell, video
- Introduction to Spell (for Machine Learning in the Cloud)
- Text Generation with LSTM and Spell
- Training LSTM from ml5.js
- What is word2vec
- Training word2vec
- Colab, First Steps with TensorFlow from ML Crash Course.
- Observable, An Interactive Introduction to TensorFlow.js in Observable
- add your question here
- August, Meow Wolf Style Transfer Webcam, Fast Style Transfer webcam trained on an image from Meow Wolf
- Suzanne, Balloon Style Transfer Webcam, Style Transfer
- Louise, Runway for visuals, AttnGAN spoken words to text to image - though I am having issues with p5.speech recognition!