Problem Set 01: The network for this task has two input nodes, one hidden layer consisting of two nodes, and one output node. It uses a ReLU activation function. For the hidden layer, the weights for the first hidden node (from the input nodes) are (2.3, -0.64, 2). The last number is the weight for the bias term. The weights for the second hidden node are (-3, -2, -1). For the output layer, the weights are (5, 3, -34). Calculate the output for the following inputs (where the bias term is the last value of each vector). Show your work. 1. (-4, -2, 1) 2. (0, -2, 1) 3. (4, -2, 1) 4. (0, -3, 1)
Problem Set 01: The network for this task has two input nodes, one hidden layer consisting of two nodes, and one output node. It uses a ReLU activation function. For the hidden layer, the weights for the first hidden node (from the input nodes) are (2.3, -0.64, 2). The last number is the weight for the bias term. The weights for the second hidden node are (-3, -2, -1). For the output layer, the weights are (5, 3, -34). Calculate the output for the following inputs (where the bias term is the last value of each vector). Show your work. 1. (-4, -2, 1) 2. (0, -2, 1) 3. (4, -2, 1) 4. (0, -3, 1)
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Problem Set 01:
The network for this task has two input nodes, one hidden layer consisting of two nodes, and one output node. It uses a ReLU activation
function. For the hidden layer, the weights for the first hidden node (from the input nodes) are (2.3, -0.64, 2). The last number is the
weight for the bias term. The weights for the second hidden node are (-3, -2, -1).
For the output layer, the weights are (5, 3, -34).
Calculate the output for the following inputs (where the bias term is the last value of each
1. (-4, -2, 1)
2. (0, -2, 1)
3. (4, -2, 1)
4. (0, -3, 1)
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