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Hi,
In Geron's Github for chapter 5 he includes a Linear SVC implementation with batch gradient descent. If possible, could someone confirm my intuition on the following code:
t = y * 2 - 1 # …
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https://www.bingryan.com/2017/09/12/BGD%E3%80%81SGD%E5%92%8CMBGD%E7%9A%84%E4%B8%80%E4%BA%9B%E5%8C%BA%E5%88%AB/#more
本文主要讲解了 梯度下降(Batch gradient descent),随机梯度下降(Stochastic gradient descent),小批量梯度下降(…
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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…
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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 …
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In particular, help a learner to learn full gradient descent, mini-batch stochastic gradient descent and etc.
It could be on linear regression or some simple neural network or etc.
But should fo…
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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…
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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
3 months ago
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@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…
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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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### 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…