Question 1
Why is recognizing patterns such as edges crucial in applications beyond digit recognition?
Question 2
What does the learning process in neural networks primarily involve?
Question 3
What is the primary function of hidden layers in a neural network?
Question 4
What is the primary goal of creating a neural network in the context of the class?
Question 5
What aspect of mathematics is emphasized as important for the effective functioning of neural networks?
Question 6
What is the significance of matrix representation in neural networks?
Question 7
What function is used to convert the weighted sum of inputs to a range between 0 and 1 in the neural network?
Question 8
What is the main challenge in manually tweaking parameters in a neural network?
Question 9
What does the output layer of the neural network represent?
Question 10
Which modern advancement in neural networks is mentioned as simplifying the activation function?
Question 11
How many neurons are there in the input layer of the discussed neural network?
Question 12
What does the brightness of output neurons represent in a neural network?
Question 13
Approximately how many total parameters (weights and biases) are there in the discussed neural network?
Question 14
What is the role of weights in a neural network?
Question 15
What role do biases play in a neural network?