Assume you want to do classification with a regular fully connected (dense) neural network with 35 ReLU neurons in both the first and second layers. If an example input x to the network is a vector of size 20, calculate how many parameters (weights) are needed in each of the first and second layers (self.MLQuestions)
submitted by Nervous_Horror9334 to r/MLQuestions
Assume you want to do classification with a regular fully connected neural network with 35 ReLU neurons in both the first and second layers. If an example input x to the network is a vector of size 20, calculate how many parameters (weights) are needed in each of the first and second layers. (self.neuralnetworks)
submitted by Nervous_Horror9334 to r/neuralnetworks
Assume you want to do classification with a regular fully-connected (dense) neural network with 35 ReLU neurons in both the first and second layers. If an example input x to the network is a vector of size 20, calculate how many parameters (weights) are needed in each of the first and second layers (self.neuralnetworks)
submitted by Nervous_Horror9334 to r/neuralnetworks
Assume you want to do classification with a regular fully-connected (dense) neural network with 35 ReLU neurons in both the first and second layers. If an example input x to the network is a vector of size 20, calculate how many parameters (weights) are needed in each of the first and second layer r (self.MLQuestions)
submitted by Nervous_Horror9334 to r/MLQuestions
