Coding Challenge #106: XOR Problem with TensorFlow.js

From the creator

In this coding challenge, I visualize the outputs of a neural network solving XOR using TensorFlow.js. Code: https://thecodingtrain.com/challenges/106-xor-problem-with-tensorflowjs 🕹️ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/sketches/ueNMC_Wh6 🎥 Previous video: https://youtu.be/tIXDik5SGsI?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🎥 Next video: https://youtu.be/diGjw5tghYU?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🎥 All videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH References: 💻 TensorFlow.js: https://js.tensorflow.org/ 💻 ml5.js: https://ml5js.org 💻 Adam optimizer: https://arxiv.org/abs/1412.6980 Videos: 🚂 TensorFlow.js playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YIeVA3dNxbR9PYj4wV31oQ 🚂 ES6 Arrow Function: https://www.youtube.com/watch?v=mrYMzpbFz18 🚂 TensorFlow.js: Layers API: https://youtu.be/F4WWukTWoXY 🚂 async/await: https://youtu.be/XO77Fib9tSI 🔴 Coding Train Live 144: https://youtu.be/_wC4sn5qKQw?t=1885s Related Coding Challenges: 🚂 #92 XOR Problem: https://youtu.be/188B6k_F9jU 🚂 #104 Linear Regression with TensorFlow.js: https://youtu.be/dLp10CFIvxI 🚂 #105 Polynomial Regression with TensorFlow.js: https://youtu.be/tIXDik5SGsI Timestamps: 0:00 Introduction 3:43 Architecture of model 8:02 InputShape, units, and activation function 11:46 Optimizer and loss function 13:50 tf.train.sgd() 17:23 model.predict() 23:34 Input data 29:00 Train the model 36:54 Shuffle training dta 38:02 Memory management 40

Published 2018-06-11 · Watch on YouTube ↗
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