gradient of the error function is vs gradient of the error function is computed

Both phrases are correct, but they serve different purposes. The first phrase is a concise statement, while the second phrase provides additional information on how the gradient is obtained. Depending on the context, you can choose the one that best fits your needs.

Last updated: March 19, 2024 • 536 views

gradient of the error function is

This phrase is correct and can be used to state the gradient of the error function.

This phrase is a concise way to refer to the gradient of the error function without specifying how it is computed.

Show examples from the web [+]

error function. The network is initialized with randomly chosen weights. The gradient of the error function is computed and used to correct the initial weights.
187 introduce a momentum term. The gradient of the error function is computed for each new combination of weights, but instead of just following the negative.
The gradient of the error function is. ∂e. ∂w. = 2(wTx)x − 2tx = −2(t − wTx)x . (34) . The weight vector is corrected by moving it in the opposite direction of the.
The gradient of the error function is the collection of partial derivatives of the error function with respect to the components of the parameter vector.

Alternatives:

gradient of the error function
error function gradient

gradient of the error function is computed

This phrase is correct and provides additional information on how the gradient is obtained.

This phrase is used when you want to specify that the gradient of the error function is being computed.

Show examples from the web [+]

error function. The network is initialized with randomly chosen weights. The gradient of the error function is computed and used to correct the initial weights.
187 introduce a momentum term. The gradient of the error function is computed for each new combination of weights, but instead of just following the negative.
gradient of the error function is computed by a finite element based sensitivity analysis scheme. The latter is enhanced by introducing the adjoint state vector ...
gradient of the error function is computed after the entire training has been presented to the entire network. Similarly, the training with the CG algorithm, ...

Alternatives:

computed gradient of the error function
gradient of the error function calculation

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

gradient of the error function is vs gradient of the error function is computed