Question 1

Can I learn machine learning with JavaScript?

Accepted Answer

Yes. Tensorcraft teaches machine learning entirely in JavaScript and TypeScript using TensorFlow JS (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

Tensorcraft uses 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

Is Tensorcraft free?

Accepted Answer

Module 1 of every theme is free — no account or credit card required. Full themes cost $49 each, with bundle discounts available up to $129 for all 5 themes.

Question 4

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).

Nova Canvas

// What you’ll build

// Cast

Nova Canvas

// What you’ll build

// Cast