Learning TensorFlow.js

Afterword

“So why try to predict the future at all if it’s so difficult, so nearly impossible? Because making predictions is one way to give warning when we see ourselves drifting in dangerous directions. Because prediction is a useful way of pointing out safer, wiser courses. Because, most of all, our tomorrow is the child of our today.”

—Octavia E. Butler

It’s been an absolute pleasure to construct and write about such an inspiring framework. I can’t believe I’m already writing the afterword for this book, and I imagine you might feel the same way about being finished with reading it. At this moment, our quest in this book has concluded. However, your adventure in TensorFlow.js is now in motion.

In this book, you covered a lot of fundamental and visual aspects of machine learning. If you were unfamiliar with machine learning, now you can go deeper into more advanced model architectures like sound, text, and generative models. While you’ve grasped a great deal of the underpinnings of TensorFlow.js, there’s an entire galaxy of possibility with various teams exploring alongside you.

From here, you can subscribe to channels and information that will help you grow, connect you with the people you need, and land you in the fantastic TensorFlow.js project where you can construct an astounding product.

Social

To keep up with what’s new in TensorFlow.js, I highly recommend you connect socially. Twitter hashtags like #MadeWithTFJS are consistently used to tag new and unique creations ...