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LearnTrellis

Learn anything. Master it completely.

AI builds your curriculum, adapts to your level, and uses spaced repetition so you actually retain what you learn.

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Your Topics
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Machine LearningActive
Module 3: Neural Networks
3 reviews dueContinue →
Spanish B1Active
Module 5: Subjunctive Mood
8/19 lessonsContinue →

Powered by proven methodology

Bloom's TaxonomyStructured cognitive levels
Spaced RepetitionOptimal review intervals
Mastery LearningProve before advancing
Adaptive TestingAI-adjusted difficulty
1.0 Baseline

We start by understanding exactly where you are

No wasted time on what you already know. An adaptive assessment maps your current knowledge across every dimension of your topic, then builds from there.

Baseline Assessment
What is the primary purpose of a loss function in machine learning?
Minimize prediction error
Maximize training speed
Reduce dataset size
Normalize input features
Question 3 of 12
2.0 Curriculum

A learning path built specifically for you

AI generates a structured curriculum matched to Bloom's taxonomy. Each module builds on the last, with mastery gates that ensure you're ready before advancing.

Your Curriculum
1. Linear Algebra Foundations
2. Probability & Statistics
3. Neural NetworksIn Progress
4. Backpropagation
5. Convolutional Networks
3.0 Retention

Actually remember what you learn

Concepts resurface at scientifically optimal intervals. Spaced repetition cards track your retention strength and schedule reviews right before you'd forget.

Spaced Repetition
Gradient Descent85% retained
Review in 4 days
Activation Functions62% retained
Review in 1 day
Batch Normalization35% retained
Review today

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