-
The pricing policy has parameters $\theta$s, and our goal is to optimized the simulation in order to produce max profits.
To do so, we need to calculate gradient of objective function(profit) w.r…
-
We should definitely add Stein variational gradient descent ([paper](https://proceedings.neurips.cc/paper/2016/file/b3ba8f1bee1238a2f37603d90b58898d-Paper.pdf), [code](https://github.com/blackjax-devs…
-
The [example in the docs](https://nemos.readthedocs.io/en/latest/generated/api_guide/plot_05_batch_glm/) currently uses a custom loop to implement stochastic gradient descent.
An alternative would …
-
@hoangminhquan-lhsdt @nguyenngoclannhu
Mình gửi review phần tóm tắt chương và các đề mục của chương 2, [version này](https://github.com/hoangminhquan-lhsdt/optimizers/tree/cd48c4b48201e8051d0ea7d1…
-
In chap8, the code of Batch gradient descent is confusing.
```python
for j in range(iterations):
error, correct_cnt = (0.0, 0)
for i in range(int(len(images) / batch_size)):
batc…
-
The pyglment package gives different estimated coefficients for linear regression depending on which solver you select (e.g. cdfast or batch-gradient). Neither solver agrees with sklearn (I believe th…
idc9 updated
5 months ago
-
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…
-
### 오류 역전파법
---
**개요**
- Stochastic Gradient Descent 복습
- 단일 신경망에서의 Gradient Descent 적용
- 오차역전법을 통한 효과적인 training
**1. Stochastic Gradient Descent 복습**
아래의 그림과 같이, Gradient Descent를 통해서 m…
-
## 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…
-
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…