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Recent questions tagged ml-final

3 3 votes
1 answers 1 answer
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How to update the weights in backpropagation algorithm when activation function in not linear?
The goal of backpropagation is to optimize the weights so that the neural network can learn how to correctly map arbitrary inputs to outputs.Assume for the following neur...
5 5 votes
1 answers 1 answer
9.1k
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How to calculate convolutions on a CONV layer for a Convolutional Neural Network?
Assume we have a $5\times5$ px RGB image with 3 channels respectively for R, G, and B. IfR2000012001201021210101020G0212211100002202002002111B0100111201102021011012112 We...
3 3 votes
1 answers 1 answer
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How to update weights in backpropagation algorithm (a numerical example)?
Assume we have the following neural network and all activation functions are $f(z)=z$. If the weights are initialized with the values you see in table below, what will be...
3 3 votes
2 answers 2 answers
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How to calculate Softmax Regression probabilities in this example?
The scatter plot of Iris Dataset is shown in the figure below. Assume Softmax Regression is used to classify Iris to Setosa, Versicolor, or Viriginica using just petal le...
3 3 votes
1 answers 1 answer
9.4k
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How to calculate feed-forward (forward-propagation) in neural network?
In the figure below, a neural network is shown. Calculate the following:1) How many neurons do we have in the input layer and the output layer?2) How many hidden layers d...
1 1 vote
1 answers 1 answer
3.6k
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What is the difference between a batch and an epoch in a Neural Network?
Both of the batch size and number of epochs are integer values and seem to do the same thing in Stochastic gradient descent. What are these two hyper-parameters of this l...
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