Register
Courses Courses Feedback Feedback

Determine weights on the paths that connect to the different data points in a neural network?

1,273 views

1 Answer

0 0 votes
The weights are randomly assigned or preloaded from a similar trained network. Afterward, using the backpropagation algorithm, the weights will be updated to get better results.

Related questions

5 5 votes
1 answers 1 answer
9.1k
9.1k views
tofighi asked Jun 26, 2019
9,103 views
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...
0 0 votes
1 answers 1 answer
441
441 views
tofighi asked Dec 1, 2025
441 views
Step-by-Step Hidden State Calculation in a Recurrent Neural Network
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}...
0 0 votes
1 answers 1 answer
2.5k
2.5k views
tofighi asked Oct 2, 2024
2,466 views
How to calculate feed-forward (forward-propagation) in neural network for classification?
For the following neural network, calculate accuracy of classification, given these settings
3 3 votes
1 answers 1 answer
9.4k
9.4k views
tofighi asked Apr 4, 2019
9,399 views
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
3.6k views
tofighi asked Oct 30, 2018
3,564 views
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...
Voting & Accepting an answer helps improve the community