|
Convolutional Neural Networks (LeNet)
|
|
2
|
296
|
April 13, 2021
|
|
Semantic Segmentation and the Dataset
|
|
4
|
107
|
April 13, 2021
|
|
Predicting House Prices on Kaggle
|
|
10
|
405
|
April 13, 2021
|
|
Dropout
|
|
34
|
676
|
April 13, 2021
|
|
Model Selection, Underfitting and Overfitting
|
|
26
|
565
|
April 11, 2021
|
|
数据操作
|
|
3
|
148
|
April 12, 2021
|
|
Chapter 8.5: Are the gradients reset to zero every training step?
|
|
1
|
14
|
April 12, 2021
|
|
Self-Attention and Positional Encoding
|
|
4
|
126
|
April 12, 2021
|
|
Batch Normalization
|
|
9
|
311
|
April 12, 2021
|
|
Concise Implementation of Multilayer Perceptron
|
|
25
|
509
|
April 12, 2021
|
|
遇到的一个问题，找不到d2l模块
|
|
5
|
32
|
April 12, 2021
|
|
Installation
|
|
32
|
1764
|
April 12, 2021
|
|
Generative Adversarial Networks
|
|
4
|
208
|
April 11, 2021
|
|
Generative Adversarial Networks
|
|
2
|
23
|
April 11, 2021
|
|
Gated Recurrent Units (GRU)
|
|
5
|
183
|
April 11, 2021
|
|
Softmax回归的简洁实现
|
|
5
|
132
|
April 11, 2021
|
|
Networks with Parallel Concatenations (GoogLeNet)
|
|
8
|
279
|
April 11, 2021
|
|
Layers and Blocks
|
|
11
|
349
|
April 10, 2021
|
|
Calculus
|
|
19
|
642
|
April 10, 2021
|
|
7.5.1 训练深层网络 公式描述问题
|
|
1
|
19
|
April 10, 2021
|
|
图像分类数据集
|
|
1
|
21
|
April 10, 2021
|
|
数据操作
|
|
7
|
325
|
April 10, 2021
|
|
线性回归从零实现
|
|
1
|
22
|
April 10, 2021
|
|
Softmax回归的从零实现
|
|
9
|
166
|
April 10, 2021
|
|
Fine-Tuning
|
|
2
|
107
|
April 9, 2021
|
|
读写文件
|
|
2
|
69
|
April 9, 2021
|
|
Dropout
|
|
2
|
66
|
April 9, 2021
|
|
Sequence Models
|
|
3
|
145
|
December 27, 2020
|
|
Geometry and Linear Algebraic Operations
|
|
3
|
166
|
April 7, 2021
|
|
Predicting House Prices on Kaggle
|
|
29
|
585
|
April 7, 2021
|
