Thomas studied computer linguistics and philosophy and graduated with a PhD in computer science. He lives with his family in Zürich.
Published
Edited
Jan 25, 2021
md`# Tensorflow Basics`
tf = require('@tensorflow/tfjs')
t = tf.tensor([0, 1, 2, 0.2, 0.4, 0.6, 0.8, 1.0])
t1 = t.split([3,5])
t1[0].arraySync()
t1[1].arraySync()
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
