Medium data structure and algorithm practice puzzle.
Given the number of neurons in each layer, return the total trainable parameters. Between each pair of neighboring layers, there's one weight per connection (the two sizes multiplied) plus one bias for each neuron in the second layer. Add that up across every pair. So [3, 4, 2] is (3 x 4 + 4) + (4 x 2 + 2) = 26.
Solve it three ways: snap the jigsaw pieces together, fill in the blanks, or type it from scratch against the tests. This one is free.
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