Machine Learning with TensorFlow, ml5.js, and Spell

6 lectures, 4 hr 25 min in all

This series will show you how to train a machine learning model in the cloud with TensorFlow, python, and Spell. After training you can use the model in the browser with ml5.js and TensorFlow.js Thanks to guests Yining Shi and Nabil Hassein for lending their expertise and creativity! Spell! Spell is a command line and web interface for sending experiments out to the cloud with a single command. There are no new frameworks to learn and almost any kind of development environment is supported. Sign up at: http://spell.run/codingtrain This series is sponsored by Spell.

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1
Introduction to Spell (for Machine Learning in the Cloud)
26 min
2
Style Transfer Part 1: Training a model with on Spell with Yining Shi
31 min
3
Style Transfer Part 2: Real-Time Style Transfer with ml5.js with Yining Shi
22 min
4
Text Generation with LSTM and Spell with Nabil Hassein
41 min
5
Style Transfer using Spell with Yining Shi
1 hr 27
6
Text Generation using Spell with Nabil Hassein
59 min