deep-learning
A NumPy array is a vector or matrix, in code
taught
Taught in
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An array is a vector
Deep Learning / Neural Networks
Requires
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what-a-vector-is-arrow-list-and-point
required
np.array([2, 3]) builds exactly Chapter 3's vector (2, 3), not a new kind of object.
Required by
- A PyTorch tensor is the same array, in a third container required
- Elementwise array arithmetic in NumPy required
- Indexing and slicing a NumPy array required
- Reading an array's .shape required
- Reductions: .sum(), .mean(), .argmax() required
- Seeding NumPy's random number generator required
- np.dot and @ compute the dot product and the matrix product required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.