for each input node vs for each hidden node

Both phrases are correct, but they are used in different contexts. 'For each input node' is used when referring to nodes at the input layer of a neural network, while 'for each hidden node' is used when referring to nodes at the hidden layers of a neural network.

Last updated: March 17, 2024 • 575 views

for each input node

This phrase is correct and commonly used when referring to nodes at the input layer of a neural network.

This phrase is used when iterating over or performing operations on each node at the input layer of a neural network.

Examples:

For each input node, calculate the weighted sum of its inputs.

Show examples from the web [+]

May 28, 2015 ... If the flow contains more than one input node, one transaction is started for each input node when it receives input data. A transaction is started ...
If a filter is placed between the sequence and target node, the bool condition is checked for each input node i.e. each item in the sequence. More exactly, a ...
The connections are tallied for each input node and scaled relative to all other inputs. A single value is obtained for each explanatory variable that describes the ...
Apr 27, 2015 ... The connec- tions are tallied for each input node and scaled relative to all other inputs. A single value is obtained for each explanatory variable ...

Alternatives:

For every input node
For all input nodes
For each node in the input layer

for each hidden node

This phrase is correct and commonly used when referring to nodes at the hidden layers of a neural network.

This phrase is used when iterating over or performing operations on each node at the hidden layers of a neural network.

Examples:

For each hidden node, apply the activation function.

Show examples from the web [+]

... bias (which forces at least some activations to happen), and the result is passed through the activation algorithm producing one output a for each hidden node.
For each hidden node, ReLU outputs an activation, a, and the activations are summed going into the output node, which simply passes the activations' sum ...
Compute neti and yi for each hidden node, i=1,..., h: Compute netj and yj for each output node, j=1,...,m: Step 2: Backward Propagation. Compute ´2's for each ...
Apr 19, 2015 ... For each hidden node: Zero all input weights to the singly selected hidden node and record the performance. Rank the performances. 2.

Alternatives:

For every hidden node
For all hidden nodes
For each node in the hidden layer

What Our Customers Are Saying

Our customers love us! We have an average rating of 4.79 stars based on 283,125 votes.
Also check out our 2,100+ reviews on TrustPilot (4.9).

"Thank you!"
Sachi Nakama July 2024
"I have literally been through chat, PI, claude, bard and bing and I got conflicting answers! Thank you! Human intelligence reigns!"
Retha July 2024
"Faster than AI"
CYNTHIA December 2023
"This was very helpful and I personally think this site is the best."
Kaden October 2023
"It was extremely thorough and very helpful!"
imperialelisa October 2023
"7 years without any disappointment. Always 100% satisfied. You guys are the best in the world at what you do. Thank you so much :)"
Zubair Alam October 2023
"In a world of text messages and online communication, this is great to have as a live tool. Thank you."
Selena October 2023
"Without textranch I would be stuck!"
宏祐 October 2023
"Accuracy and fast response. Personal comments from editor. Thank you."
Clh September 2023
"I wasn't aware of this service, it's fascinating and more reliable than standard IA tools available on the internet"
Arturo September 2023
"The fact that you can get reliable fast feedback on your texts."
Vinicius Antonio August 2023
"you guys are better than grammarly i'm being honest here"
ordinary July 2023
"OMG! This is really good than any other text correction tools I've used so far. Highly recommend this."
Vehan July 2023
"Very fast and accurate. thank you."
mojtaba July 2023
"I love this app because it's help to writing skills all of students ♥️"
Tarisini July 2023
"This was exactly the mistake I was looking for, the wording dind´t sound right at first. Better than grammarly!"
Ente July 2023
"The immediate help that I received was reassuring and very satisfactory. Thanks."
priiiyanshuu July 2023
"this helps A LOT for my studies."
kathnunez02 June 2023
"Woow!! I would never have expected such precision! Thank you soooo much!!"
Berta June 2023
"Real Time Editor and not AI. Many Thanks."
Priya June 2023
"The very first thing excites me about Textranch is how much your editors care."
sepideh June 2023
"The fact that texts are checked by human editors rather than by AI, etc. I appreciate this!"
Анна June 2023
"Feel welcome, immediate response, high quality feedback"
martin.roy June 2023
"This is the best app that I have ever seen"
Burulai May 2023

for each input node vs for each hidden node