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1. Introduction to Neural Networks
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Neural networks are computing systems inspired by biological neural networks that constitute animal brains.
[Deep_Learning_Lec1.pdf - pg 2]
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The fundamental building block is the perceptron, which takes multiple inputs and produces a single output.
[Neural_Nets_Practice.ipynb - Cell 4]
2. Backpropagation
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Backpropagation is a method for calculating the gradient of the loss function with respect to each weight.
[Deep_Learning_Lec1.pdf - pg 14]
10
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Medium
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Tricky Exam
Question 1 of 10
Difficulty: Medium
Which of the following activation functions is most commonly used in the output layer of a binary classification problem?
Correct Answer: C) Sigmoid
Explanation: The Sigmoid function squashes output between 0 and 1, which is perfect for representing probability in binary classification. Softmax is used for multi-class.
Source: Neural_Nets_Practice.ipynb - Cell 12
Source: Neural_Nets_Practice.ipynb - Cell 12