Seach the website
Login
Register
Dark Mode
Brightness
Ambient Glow – Questions list
Register
Profile
Edit Profile
Messages
My favorites
My Updates
Logout
Courses
Feedback
Recent questions tagged backpropagation
3
3 votes
1
answers
1 answer
6.0k
6.0k views
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...
tofighi
116k
points
73
79
101
asked
Aug 10, 2020
Machine Learning
machine-learning
deep-learning
neural-network
backpropagation
back-propagation
ml-exercise
ml-final
ele888-final
+
–
3
3 votes
1
answers
1 answer
7.4k
7.4k views
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...
tofighi
116k
points
73
79
101
asked
Apr 11, 2019
Machine Learning
machine-learning
deep-learning
backpropagation
back-propagation
gradient-decent
ml-exercise
ml-final
ele888-final
+
–
2
2 votes
1
answers
1 answer
6.6k
6.6k views
How to update weights using gradient decent algorithm?
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...
tofighi
116k
points
73
79
101
asked
Mar 28, 2019
Machine Learning
machine-learning
deep-learning
gradient-decent
backpropagation
cost-function
linear-regression
ml-exercise
ele888-final
+
–
To see more, click for the
full list of questions
or
popular tags
.