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Hi Aurelien.
May I modestly suggest the attached implementation of the plot_gradient_descent() function?
I think it drives home your point:
>A simple solution is to set a very large number of i…
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## What are the meanings of batch size, mini-batch, iterations and epoch in neural networks?
Gradient descent is an iterative algorithm which computes the gradient of a function and uses it to upda…
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7/8 Optimization 방법론
- Optimization 방법론의 발전
- Gradient Descent Algorithm
- 어떠한 함수의 최소점을 찾는것
- 함수의 공간은 파라미터, 파라미터 갯수가 엄청나게 늘어나면 함수 형태 파악 불가능
- 파라미터의 기울기만을 알고 있다고 가정(코스트 함수를 최소화 하기 위해, 코스…
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@kangk9908
https://github.com/kcarnold/cs344-exam-23sp/blob/6a5024bc438f6db811ce74682ee7ba1fc4684112/u02-sa-learning-rate/SLO.md?plain=1#L1
From how I read the SLO from unit 2, I think it more rel…
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The basic idea is to represent the joint state-action value function as a Gaussian process. The optimal policy can be approximated with a few steps of gradient descent on the action subspace, holding …
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Hi,
I am wondering about the meaning of "fine-tune" in the paper, page 41, Section I.2,
```
For CelebA, this means using a learning rate of 10−3
, a weight decay of 10−4
, a batch size of …
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| Team Name | Affiliation |
|---|---|
| TheUnreasonableOne | None |
- Paper: [On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent](https://openreview.net/pdf?i…
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# Stanford CS229 Lecture 2.Linear Regression and Gradient Descent - Just Do it
Outline Linear Regression Batch/Stochastic Gradient Descent Normal Equation
[https://temple17.github.io/cs229/le…
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| Team Name | Affiliation |
|---|---|
| Team | EPFL, IIT Kanpur; EPFL, IIT Kanpur; EPFL, Leuven |
- Paper: [A RESIZABLE MINI-BATCH GRADIENT DESCENT BASED ON A MULTI-ARMED BANDIT](https://openreview.…
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Basically these are parameters that aren't updated via gradient descent (but would be serialized - a good example that already exists here is the running mean or running variance in batch normalisatio…