Question 1

Can I learn machine learning with JavaScript?

Accepted Answer

Yes. Tensorcraft teaches machine learning entirely in JavaScript and TypeScript using TensorFlow.js. Models train and run in the browser, no Python required. The curriculum covers neural networks, LSTMs, CNNs, and transformers through hands-on tutorials built for frontend developers.

Question 2

How does Tensorcraft teach ML to frontend developers?

Accepted Answer

Through 50+ 'bridge' analogies that map frontend concepts you already know (like useState, Array.map, and fetch) to their ML equivalents (model weights, tensor operations, and inference APIs). Each course is a story-driven narrative where you build real ML models.

Question 3

How much math do I need?

Accepted Answer

None upfront. You need working JavaScript: comfortable with functions, arrays, and async. The math is there when you want it: derivations sit in optional expandable drawers, and you can finish every module without opening one.

Question 4

Is Tensorcraft free?

Accepted Answer

Module 1 of Deep Orbit, the live theme, is free, no account or credit card required. The other four themes ship in waves, each with a waitlist. Full themes cost $59 each, with bundle discounts available up to $159 for all 5 themes.

Question 5

What ML topics does Tensorcraft cover?

Accepted Answer

Five specializations: Time-Series & Signals (RNNs, LSTMs), Computer Vision (CNNs, YOLO), NLP & Text Intelligence (Transformers, BERT), Multimodal & Generative AI (GANs, Diffusion), and Edge AI & Production ML (quantization, MLOps).

Question 6

What if it turns out not to be for me?

Accepted Answer

Module 1 is free before any money moves. After purchase there's a 14-day money-back guarantee: full refund if you've used less than 20% of a theme.

Nova Canvas

The 11 Galleries

What you’ll master

Where it leads

The cast

Waitlist

Deep Orbit is live now