Question

Assume a simple neural model with 3 neurons and inputs = 1,2,3. The weights to the input neurons are 2, 4 and 6 respectively. Assume the activation function is a linear constant value of 5. What will be the output?

Answer 1

Answer:

12. Which of the following statements is true when you use 1×1 convolutions in a CNN? Explanation: 1×1 convolutions are called bottleneck structure in CNN. Explanation: Since MLP is a fully connected directed graph, the number of connections are a multiple of number of nodes in input layer and hidden layer.