Each world is a separate ML specialization. Deep Orbit is the one available today: buy once, get lifetime access, no subscription, all updates included.
A 5-day money-back guarantee. Full refund, no questions asked. See terms.
every module in Deep Orbit, lesson by lesson
Tensors, shapes, and the operations that reshape them, starting from the Float32Array you already use.
Build a classifier one piece at a time: a single neuron, the activation that bends it, and layers stacked into an architecture.
Loss functions, gradient descent, the training loop that ties them together, and the evaluation that decides whether a model is good enough to ship.
Run a trained model in the browser: TensorFlow.js setup, model loading and caching, real-time inference, and how TensorFlow.js, ONNX Runtime Web, and Transformers.js compare.
Turn raw time-series data into features the Fourier Transform, spectrograms, and windowing can expose.
Recurrent networks that carry state across time: RNNs, LSTMs, and GRUs, mapped onto the reducers and cache expiry you already write.
Autoencoders that learn what normal looks like, then flag whatever they cannot rebuild, using reconstruction error and a tuned threshold.
Attention, multi-step forecasting, Kalman filters, and confidence-weighted ensembles, for data that does not repeat on a fixed schedule.
Add language models to the pipeline: prompt engineering, retrieval over your own logs, and orchestrating more than one model.
Profiling, quantization, pruning, caching, and WebGPU acceleration, treated as a measured tradeoff between model size and accuracy.
Assemble the finished system: architecture, a deployment pipeline, monitoring, and the documentation that ships with it.
Module 1 is free, no account needed. Browse the full Deep Orbit syllabus.
Yes. Tensorcraft teaches machine learning entirely in JavaScript using the TensorFlow.js library. You will build models, then train and run them in the browser right in the lessons; the same code runs under Node. No Python required. The live world, Deep Orbit, covers topics like neural networks, recurrent networks (LSTMs), signal processing, and attention. More topics are covered in the upcoming worlds.
Then skip Tensorcraft. It is entirely taught with TensorFlow.js and intended as a fun and easy way for JavaScript engineers to break into machine learning.
None upfront. You just need JavaScript knowledge and comfort with concepts like functions, arrays, and async. The math will be introduced when you need it, in optional expandable drawers.
No. Lessons are scenes written in text, with code snippets alongside. Completing exercises opens the gate to new lessons. Short video scenes are on the roadmap: subscribe to updates on the Worlds page to hear when they land.
Deep Orbit consists of 56 lessons across 11 modules. Since it's story-based, it's meant to be tackled in order. Each module's time estimates are listed on the pricing page and the Deep Orbit course page.
Module 1 of Deep Orbit is free, no account or credit card is required. However, the full course costs $59. You will make a one-time payment and get lifetime access to your purchased world.
Module 1 is free. The full course is paid: after purchase there's a 5-day refund guarantee, no questions asked.
your javascript is the foundation
Start with the free module. Buy when you want the other ten.
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