Recent questions tagged deep-learning

Consider a simplified Recurrent Neural Network (RNN) with a single input and a single output. The hidden state is updated using the recurrence:$$ h_t = \text{ReLU}(W_{ih}...

For the following neural network, calculate accuracy of classification, given these settings

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...

Assume we have a $5\times5$ px RGB image with 3 channels respectively for R, G, and B. IfR2000012001201021210101020G0212211100002202002002111B0100111201102021011012112 We...

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...

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...

For the below neural network, imagine we are going to use the backpropagation algorithm to update weights. If the Bias (b) in this problem is always 0 (ignore bias when y...

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...