AppliedNumeric answer

A convolutional layer uses $3 \times 3$ kernels, $16$ input channels and $32$ output channels, with a bias per output channel. How many learnable parameters does it have?

Answer with a number. Fractions, powers and expressions like 23/6 or C(52,5) are read correctly in practice.

The worked solution is in Premium

The answer, the full working and the one idea to take away – for this and all 1,322 questions in the bank. Answer it in practice and your working is marked, with a known mistake named when you make one.

Start the 7-day free trial Practise it with Premium

Learn the method

Neural networks: backpropagation, and when they are the wrong tool

Reported in interviews at

Citadel, Two Sigma

A convolutional layer uses 3×33 \times 33×3 kernels, 161616 input channels and 323232 output channels, with a bias per output channel. How many learnable parameters does it have?

More machine learning questions

A convolutional layer uses $3 \times 3$ kernels, $16$ input channels and $32$ output channels, with a bias per output channel. How many learnable parameters does it have?