Dr. Farah analyzes the dimensional structure of the incoming data.
The data stream has structure — I can see repeating patterns at different scales. We need to understand its dimensional layout before we can analyze it.
Every tensor has a shape — a tuple of numbers describing how many elements exist along each dimension. If you've ever checked array.length or calculated rows × cols for a grid layout, you already think in shapes.
In frontend development, you work with shapes constantly. A responsive grid with 3 rows and 4 columns? That's shape [3, 4]. A list of 10 user cards? Shape [10]. A batch of 32 RGB images at 224×224 pixels? Shape [32, 224, 224, 3].
The golden rule: reshaping never changes the data, only how it's organized. Think of it like CSS Grid — the same child elements can be arranged as 2×3 or 3×2 just by changing grid-template-columns.
Reshape a flat tensor into a matrix.