Core Track 1 · Hands-On Coding5 Interactive Workspaces
Deep Learning From Scratch
Forget third-party library imports like PyTorch or TensorFlow wrappers. Build every active matrix, activation loop, and partial derivative from first principles in zero-dependency Python with live browser execution.
Interactive Syllabus
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Tip: Sign in to persist your progress across devicesCurriculum Part 1Beginner
Deep Learning Foundations
Build the absolute visual and mathematical intuition for neural networks. You will construct neurons and layers in pure Python with no external dependencies.
0 Workspaces45 mins
Curriculum Part 2Intermediate
Training & Optimization
Understand how deep learning models self-correct. Implement Mean Squared Error loss, numerical gradients, gradient descent, and backpropagation.
2 Workspaces1 hr 15 mins
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