机器学习斯坦福_爽朗的琪琪的博客-优快云博客

机器学习斯坦福

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关注数：文章数：31 文章阅读量：11541 文章收藏量：5

作者: 爽朗的琪琪

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2 - 3 - Cost Function - Intuition I (11 min)

转载 2017-01-29 18:21:56 · 364 阅读 · 0 评论
7 - 4 - Regularized Logistic Regression (9 min)

转载 2017-06-06 15:13:46 · 311 阅读 · 0 评论
6 - 4 - Cost Function (11 min)

转载 2017-06-03 08:13:18 · 281 阅读 · 0 评论
6 - 3 - Decision Boundary (15 min)

转载 2017-05-30 09:35:41 · 390 阅读 · 0 评论
4 - 5 - Features and Polynomial Regression (8 min)

转载 2017-06-03 10:16:48 · 595 阅读 · 0 评论
8 - 1 - Non-linear Hypotheses (10 min)

转载 2017-06-03 11:06:23 · 367 阅读 · 0 评论
4 - 6 - Normal Equation (16 min)

转载 2017-06-03 18:55:50 · 302 阅读 · 0 评论
6 - 6 - Advanced Optimization (14 min)

转载 2017-07-28 08:05:57 · 308 阅读 · 0 评论
9 - 5 - Gradient Checking (12 min)

转载 2017-07-29 15:31:50 · 390 阅读 · 0 评论
12 - 1 - Optimization Objective (15 min)

转载 2017-07-29 20:36:58 · 509 阅读 · 0 评论
6 - 5 - Simplified Cost Function and Gradient Descent (10 min)

转载 2017-07-28 08:02:32 · 371 阅读 · 0 评论
9 - 1 - Cost Function (7 min)

转载 2017-07-28 09:27:57 · 328 阅读 · 0 评论
9 - 2 - Backpropagation Algorithm (12 min)

转载 2017-07-28 11:01:16 · 293 阅读 · 0 评论
9 - 3 - Backpropagation Intuition (13 min)

转载 2017-07-29 12:52:52 · 348 阅读 · 0 评论
7 - 3 - Regularized Linear Regression (11 min)

转载 2017-06-06 13:11:44 · 271 阅读 · 0 评论
7 - 2 - Cost Function (10 min)

转载 2017-06-06 12:37:47 · 273 阅读 · 0 评论
6 - 1 - Classification (8 min)

转载 2017-02-07 19:31:34 · 527 阅读 · 1 评论
2 - 2 - Cost Function (8 min)

转载 2017-01-29 17:39:53 · 324 阅读 · 0 评论
2 - 1 - Model Representation (8 min)

转载 2017-01-29 14:49:35 · 500 阅读 · 0 评论
2 - 4 - Cost Function - Intuition II (9 min)

转载 2017-01-29 19:12:04 · 361 阅读 · 0 评论
2 - 5 - Gradient Descent (11 min)

转载 2017-01-29 20:40:25 · 295 阅读 · 0 评论
2 - 6 - Gradient Descent Intuition (12 min)

转载 2017-01-30 10:30:35 · 380 阅读 · 0 评论
2 - 7 - Gradient Descent For Linear Regression (10 min)

转载 2017-01-30 11:47:11 · 538 阅读 · 0 评论
2 - 8 - Whats Next (6 min)

转载 2017-01-30 15:44:19 · 297 阅读 · 0 评论
4 - 1 - Multiple Features (8 min)

转载 2017-01-30 19:15:17 · 362 阅读 · 0 评论
4 - 2 - Gradient Descent for Multiple Variables (5 min)

转载 2017-01-30 19:56:58 · 319 阅读 · 0 评论
4 - 3 - Gradient Descent in Practice I - Feature Scaling (9 min)

转载 2017-01-30 20:50:19 · 389 阅读 · 0 评论
4 - 4 - Gradient Descent in Practice II - Learning Rate (9 min)

转载 2017-01-31 08:54:12 · 482 阅读 · 1 评论
6 - 2 - Hypothesis Representation (7 min)

转载 2017-05-30 08:29:31 · 368 阅读 · 0 评论
7 - 1 - The Problem of Overfitting (10 min)

转载 2017-06-06 11:55:29 · 268 阅读 · 0 评论
9 - 4 - Implementation Note Unrolling Parameters (8 min)

转载 2017-07-29 13:42:36 · 433 阅读 · 0 评论

机器学习斯坦福

作者: 爽朗的琪琪

2 - 3 - Cost Function - Intuition I (11 min)

7 - 4 - Regularized Logistic Regression (9 min)

6 - 4 - Cost Function (11 min)

6 - 3 - Decision Boundary (15 min)

4 - 5 - Features and Polynomial Regression (8 min)

8 - 1 - Non-linear Hypotheses (10 min)

4 - 6 - Normal Equation (16 min)

6 - 6 - Advanced Optimization (14 min)

9 - 5 - Gradient Checking (12 min)

12 - 1 - Optimization Objective (15 min)

6 - 5 - Simplified Cost Function and Gradient Descent (10 min)

9 - 1 - Cost Function (7 min)

9 - 2 - Backpropagation Algorithm (12 min)

9 - 3 - Backpropagation Intuition (13 min)

7 - 3 - Regularized Linear Regression (11 min)

7 - 2 - Cost Function (10 min)

6 - 1 - Classification (8 min)

2 - 2 - Cost Function (8 min)

2 - 1 - Model Representation (8 min)

2 - 4 - Cost Function - Intuition II (9 min)

2 - 5 - Gradient Descent (11 min)

2 - 6 - Gradient Descent Intuition (12 min)

2 - 7 - Gradient Descent For Linear Regression (10 min)

2 - 8 - Whats Next (6 min)

4 - 1 - Multiple Features (8 min)

4 - 2 - Gradient Descent for Multiple Variables (5 min)

4 - 3 - Gradient Descent in Practice I - Feature Scaling (9 min)

4 - 4 - Gradient Descent in Practice II - Learning Rate (9 min)

6 - 2 - Hypothesis Representation (7 min)

7 - 1 - The Problem of Overfitting (10 min)

9 - 4 - Implementation Note Unrolling Parameters (8 min)