FoundationNumeric answer
How many learnable parameters does a fully connected layer from inputs to outputs have, with biases?
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.
More machine learning questions
- A softmax output layer receives logits (2,1,0).Foundation
- A batch normalisation layer follows a fully connected layer of 128 units.Applied
- A convolutional layer uses 3 × 3 kernels, 16 input channels and 32 output…Applied
- Why did rectified linear units largely replace sigmoids in deep networks?Advanced
- You deepen your trees from depth 3 to depth 12. What happens to bias and variance?Foundation
- A node holds 40 positive and 60 negative examples. What is its Gini impurity?Foundation