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Different Perspective of Line Regression
Machine Learning #machine learning

Different Perspective of Line Regression

1. Line regression 1.1 Ordinary Least Squares (OLS) Perspective 1.1.1 Model Representation: The linear regression model is represented as: \hat{Y} = X

narcissuskid narcissuskid 发布于 2024-03-18

归档

2023 年 09 月

9.4. Recurrent Neural Networks

2023-09-03

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises 1. If we use an RNN to predict the next character in a text sequence, what is the requir
9.3. Language Models

2023-09-02

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises 1. Suppose there are 100,000 words in the training dataset. How much word frequency and
9.2. Converting Raw Text into Sequence Data

2023-09-02

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises import sys import torch.nn as nn import torch import warnings import re import numpy as
解决Jupyter无法保存(413: Request Entity Too Large )

2023-09-02

Software Engineering #异常解决
问题描述 jupyer lab界面保存文件时提示Jupyter Lab throwing 413: Request Entity Too Large 解决方法 修改nginx配置，在配置中增加/修改client_max_body_size ：
9.1. Working with Sequences

2023-09-02

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises import sys import torch.nn as nn import torch import warnings sys.path.append('/home/jov
8.8. Designing Convolution Network Architectures

2023-09-01

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises 1. Increase the number of stages to four. Can you design a deeper RegNetX that performs
8.7. Densely Connected Networks (DenseNet)

2023-09-01

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises import torch import torch.nn as nn from torch.nn import functional as F import sys sys.p

2023 年 08 月

8.6. Residual Networks (ResNet) and ResNeXt

2023-08-31

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises 1. What are the major differences between the Inception block in Fig. 8.4.1 and the resi
8.5. Batch Normalization

2023-08-30

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises 1. Should we remove the bias parameter from the fully connected layer or the convolution
8.4. Multi-Branch Networks (GoogLeNet)

2023-08-28

Deep Learning #solutions#d2l#pytorch
github: https://github.com/pandalabme/d2l/tree/main/exercises import sys import torch.nn as nn import torch import warnings sys.path.append('/home/jov
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