Nine Hundred Ninety-Nine Problems
A feedforward network for 10-class classification has one hidden layer: input size 20, hidden layer size 16 with ReLU, and output size 10 with softmax. Counting all weights and biases in both fully-connected layers, how many trainable parameters does the network have?
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