2048BT
导航切换
首页
热门番号
热门女优
今日热门
一周热门
最新更新
搜索磁力
BT种子名称
[FreeCourseSite.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks
分享给好友
找到本站最新地址的两种方法: 1、记住地址发布页
2048bt.cc
、
2048bt.cyou
、
bt搜索.xyz
、
bt搜索.cc
2、发送“地址”到2048bt@gmail.com
BT种子基本信息
种子哈希:
10cd2fd3db4f3aa232098645c825280c71f725af
文档大小:
4.6 GB
文档个数:
317
个文档
下载次数:
1430
次
下载速度:
极快
收录时间:
2021-11-10
最近下载:
2024-09-17
DMCA/屏蔽:
DMCA/屏蔽
下载磁力链接
magnet:?xt=urn:btih:10CD2FD3DB4F3AA232098645C825280C71F725AF
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘、
PIKPAK
等下载工具进行下载。
下载BT种子
磁力链接
种子下载
迅雷下载
二维码
含羞草
51品茶
91视频
逼哩逼哩
欲漫涩
草榴社区
抖阴破解版
成人快手
暗网禁区
缅北禁地
TikTok成人版
暗网解密
文档列表
7. Building a CNN/1.1 Section 40 - Convolutional Neural Networks (CNN).zip
234.9 MB
7. Building a CNN/8. Building a CNN - FINAL DEMO!.mp4
160.2 MB
25. Logistic Regression Implementation/8. Logistic Regression - Step 7.mp4
124.4 MB
7. Building a CNN/4. Building a CNN - Step 3.mp4
124.4 MB
4. Building an ANN/5. Building an ANN - Step 2.mp4
116.4 MB
7. Building a CNN/3. Building a CNN - Step 2.mp4
112.0 MB
24. Data Preprocessing Template/8. Data Preprocessing - Step 7.mp4
106.7 MB
4. Building an ANN/8. Building an ANN - Step 5.mp4
106.2 MB
7. Building a CNN/6. Building a CNN - Step 5.mp4
102.5 MB
24. Data Preprocessing Template/6. Data Preprocessing - Step 5.mp4
93.0 MB
25. Logistic Regression Implementation/3. Logistic Regression - Step 2.mp4
88.7 MB
4. Building an ANN/6. Building an ANN - Step 3.mp4
78.7 MB
24. Data Preprocessing Template/4. Data Preprocessing - Step 3.mp4
75.3 MB
7. Building a CNN/2. Building a CNN - Step 1.mp4
74.2 MB
24. Data Preprocessing Template/5. Data Preprocessing - Step 4.mp4
72.4 MB
24. Data Preprocessing Template/7. Data Preprocessing - Step 6.mp4
70.9 MB
4. Building an ANN/3. Building an ANN - Step 1.mp4
69.7 MB
4. Building an ANN/7. Building an ANN - Step 4.mp4
68.5 MB
24. Data Preprocessing Template/2. Data Preprocessing - Step 1.mp4
57.0 MB
25. Logistic Regression Implementation/7. Logistic Regression - Step 6.mp4
55.5 MB
9. RNN Intuition/6. Practical intuition.mp4
55.4 MB
21. Building an AutoEncoder/17. THANK YOU bonus video.mp4
54.8 MB
21. Building an AutoEncoder/9. Building an AutoEncoder - Step 4.mp4
52.0 MB
9. RNN Intuition/5. LSTMs.mp4
48.2 MB
18. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp4
47.9 MB
25. Logistic Regression Implementation/5. Logistic Regression - Step 4.mp4
47.4 MB
25. Logistic Regression Implementation/2. Logistic Regression - Step 1.mp4
46.8 MB
13. SOMs Intuition/8. Reading an Advanced SOM.mp4
45.3 MB
25. Logistic Regression Implementation/4. Logistic Regression - Step 3.mp4
45.2 MB
18. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp4
45.1 MB
6. CNN Intuition/8. Step 4 - Full Connection.mp4
44.8 MB
18. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp4
42.4 MB
6. CNN Intuition/6. Step 2 - Pooling.mp4
42.2 MB
7. Building a CNN/5. Building a CNN - Step 4.mp4
42.0 MB
10. Building a RNN/14. Building a RNN - Step 13.mp4
41.8 MB
21. Building an AutoEncoder/11. Building an AutoEncoder - Step 6.mp4
39.8 MB
9. RNN Intuition/3. The idea behind Recurrent Neural Networks.mp4
39.1 MB
10. Building a RNN/5. Building a RNN - Step 4.mp4
38.9 MB
14. Building a SOM/5. Building a SOM - Step 3.mp4
37.8 MB
15. Mega Case Study/4. Mega Case Study - Step 3.mp4
36.9 MB
21. Building an AutoEncoder/13. Building an AutoEncoder - Step 8.mp4
35.5 MB
21. Building an AutoEncoder/12. Building an AutoEncoder - Step 7.mp4
35.3 MB
6. CNN Intuition/10. Softmax & Cross-Entropy.mp4
34.9 MB
17. Boltzmann Machine Intuition/4. Restricted Boltzmann Machine.mp4
33.4 MB
21. Building an AutoEncoder/14. Building an AutoEncoder - Step 9.mp4
33.1 MB
1. Welcome to the course/1. What is Deep Learning.mp4
32.8 MB
6. CNN Intuition/4. Step 1 - Convolution Operation.mp4
32.5 MB
18. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.mp4
32.5 MB
14. Building a SOM/3. Building a SOM - Step 1.mp4
32.2 MB
25. Logistic Regression Implementation/6. Logistic Regression - Step 5.mp4
32.0 MB
3. ANN Intuition/3. The Neuron.mp4
31.0 MB
6. CNN Intuition/3. What are convolutional neural networks.mp4
30.9 MB
10. Building a RNN/12. Building a RNN - Step 11.mp4
30.7 MB
18. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.mp4
30.6 MB
23. Regression & Classification Intuition/5. Logistic Regression Intuition.mp4
30.6 MB
9. RNN Intuition/4. The Vanishing Gradient Problem.mp4
30.4 MB
14. Building a SOM/6. Building a SOM - Step 4.mp4
30.1 MB
21. Building an AutoEncoder/16. Building an AutoEncoder - Step 11.mp4
29.7 MB
21. Building an AutoEncoder/6. Building an AutoEncoder - Step 2.mp4
29.2 MB
3. ANN Intuition/6. How do Neural Networks learn.mp4
27.8 MB
10. Building a RNN/6. Building a RNN - Step 5.mp4
27.5 MB
21. Building an AutoEncoder/5. Building an AutoEncoder - Step 1.mp4
27.3 MB
13. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).mp4
26.3 MB
17. Boltzmann Machine Intuition/1. Boltzmann Machine.mp4
26.2 MB
17. Boltzmann Machine Intuition/5. Contrastive Divergence.mp4
26.1 MB
18. Building a Boltzmann Machine/14. Building a Boltzmann Machine - Step 10.mp4
25.6 MB
3. ANN Intuition/5. How do Neural Networks work.mp4
24.7 MB
18. Building a Boltzmann Machine/11. Building a Boltzmann Machine - Step 7.mp4
24.0 MB
15. Mega Case Study/5. Mega Case Study - Step 4.mp4
23.8 MB
10. Building a RNN/16. Building a RNN - Step 15.mp4
22.7 MB
20. AutoEncoders Intuition/1. Auto Encoders.mp4
22.6 MB
10. Building a RNN/15. Building a RNN - Step 14.mp4
22.6 MB
13. SOMs Intuition/4. K-Means Clustering (Refresher).mp4
22.3 MB
18. Building a Boltzmann Machine/5. Building a Boltzmann Machine - Step 1.mp4
22.2 MB
18. Building a Boltzmann Machine/3. Building a Boltzmann Machine - Introduction.mp4
22.1 MB
10. Building a RNN/8. Building a RNN - Step 7.mp4
21.9 MB
18. Building a Boltzmann Machine/6. Building a Boltzmann Machine - Step 2.mp4
21.8 MB
1. Welcome to the course/2. Updates on Udemy Reviews.mp4
21.4 MB
21. Building an AutoEncoder/7. Building an AutoEncoder - Step 3.mp4
21.1 MB
14. Building a SOM/4. Building a SOM - Step 2.mp4
20.4 MB
18. Building a Boltzmann Machine/10. Building a Boltzmann Machine - Step 6.mp4
19.7 MB
3. ANN Intuition/7. Gradient Descent.mp4
19.4 MB
13. SOMs Intuition/10. EXTRA K-means Clustering (part 3).mp4
19.4 MB
17. Boltzmann Machine Intuition/3. Editing Wikipedia - Our Contribution to the World.mp4
19.3 MB
18. Building a Boltzmann Machine/7. Building a Boltzmann Machine - Step 3.mp4
19.1 MB
3. ANN Intuition/8. Stochastic Gradient Descent.mp4
17.6 MB
18. Building a Boltzmann Machine/15. Building a Boltzmann Machine - Step 11.mp4
17.5 MB
4. Building an ANN/1. Business Problem Description.mp4
17.2 MB
24. Data Preprocessing Template/3. Data Preprocessing - Step 2.mp4
16.7 MB
13. SOMs Intuition/2. How do Self-Organizing Maps Work.mp4
16.7 MB
10. Building a RNN/4. Building a RNN - Step 3.mp4
16.7 MB
17. Boltzmann Machine Intuition/2. Energy-Based Models (EBM).mp4
16.5 MB
10. Building a RNN/3. Building a RNN - Step 2.mp4
16.3 MB
13. SOMs Intuition/6. How do Self-Organizing Maps Learn (Part 2).mp4
16.2 MB
18. Building a Boltzmann Machine/13. Building a Boltzmann Machine - Step 9.mp4
16.0 MB
3. ANN Intuition/4. The Activation Function.mp4
15.5 MB
6. CNN Intuition/5. Step 1(b) - ReLU Layer.mp4
14.8 MB
10. Building a RNN/2. Building a RNN - Step 1.mp4
14.4 MB
10. Building a RNN/13. Building a RNN - Step 12.mp4
14.1 MB
10. Building a RNN/9. Building a RNN - Step 8.mp4
14.1 MB
13. SOMs Intuition/7. Live SOM example.mp4
13.3 MB
13. SOMs Intuition/9. EXTRA K-means Clustering (part 2).mp4
12.9 MB
21. Building an AutoEncoder/10. Building an AutoEncoder - Step 5.mp4
12.4 MB
20. AutoEncoders Intuition/5. Sparse Autoencoders.mp4
12.1 MB
10. Building a RNN/11. Building a RNN - Step 10.mp4
12.0 MB
21. Building an AutoEncoder/15. Building an AutoEncoder - Step 10.mp4
11.8 MB
20. AutoEncoders Intuition/3. Training an Auto Encoder.mp4
11.7 MB
18. Building a Boltzmann Machine/9. Building a Boltzmann Machine - Step 5.mp4
11.7 MB
3. ANN Intuition/9. Backpropagation.mp4
11.5 MB
17. Boltzmann Machine Intuition/6. Deep Belief Networks.mp4
10.8 MB
15. Mega Case Study/3. Mega Case Study - Step 2.mp4
10.1 MB
23. Regression & Classification Intuition/2. Simple Linear Regression Intuition - Step 1.mp4
9.9 MB
10. Building a RNN/10. Building a RNN - Step 9.mp4
8.6 MB
6. CNN Intuition/9. Summary.mp4
8.3 MB
9. RNN Intuition/7. EXTRA LSTM Variations.mp4
7.7 MB
10. Building a RNN/7. Building a RNN - Step 6.mp4
7.1 MB
17. Boltzmann Machine Intuition/8. How to get the dataset.mp4
6.8 MB
14. Building a SOM/2. How to get the dataset.mp4
6.8 MB
21. Building an AutoEncoder/2. How to get the dataset.mp4
6.8 MB
20. AutoEncoders Intuition/4. Overcomplete hidden layers.mp4
6.7 MB
23. Regression & Classification Intuition/3. Simple Linear Regression Intuition - Step 2.mp4
5.6 MB
25. Logistic Regression Implementation/1.1 Machine Learning A-Z (Codes and Datasets).zip
5.5 MB
24. Data Preprocessing Template/1.1 Machine Learning A-Z (Codes and Datasets).zip
5.5 MB
4. Building an ANN/2.1 Machine Learning A-Z (Codes and Datasets).zip
5.5 MB
6. CNN Intuition/2. Plan of attack.mp4
5.1 MB
17. Boltzmann Machine Intuition/7. Deep Boltzmann Machines.mp4
5.1 MB
3. ANN Intuition/2. Plan of Attack.mp4
5.0 MB
20. AutoEncoders Intuition/6. Denoising Autoencoders.mp4
5.0 MB
13. SOMs Intuition/1. Plan of attack.mp4
4.7 MB
20. AutoEncoders Intuition/7. Contractive Autoencoders.mp4
4.6 MB
15. Mega Case Study/2. Mega Case Study - Step 1.mp4
4.5 MB
9. RNN Intuition/2. Plan of attack.mp4
4.4 MB
20. AutoEncoders Intuition/8. Stacked Autoencoders.mp4
3.8 MB
13. SOMs Intuition/3. Why revisit K-Means.mp4
3.6 MB
19. ---------------------------- Part 6 - AutoEncoders ----------------------------/2. Plan of attack.mp4
3.5 MB
6. CNN Intuition/7. Step 3 - Flattening.mp4
3.4 MB
16. ------------------------- Part 5 - Boltzmann Machines -------------------------/2. Plan of attack.mp4
3.4 MB
20. AutoEncoders Intuition/9. Deep Autoencoders.mp4
3.0 MB
20. AutoEncoders Intuition/2. A Note on Biases.mp4
2.1 MB
23. Regression & Classification Intuition/4. Multiple Linear Regression Intuition.mp4
1.9 MB
10. Building a RNN/1.1 Part 3 - Recurrent Neural Networks.zip
51.6 kB
18. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.srt
43.5 kB
21. Building an AutoEncoder/9. Building an AutoEncoder - Step 4.srt
42.1 kB
9. RNN Intuition/5. LSTMs.srt
40.3 kB
7. Building a CNN/8. Building a CNN - FINAL DEMO!.srt
39.7 kB
6. CNN Intuition/8. Step 4 - Full Connection.srt
39.5 kB
17. Boltzmann Machine Intuition/4. Restricted Boltzmann Machine.srt
38.7 kB
18. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.srt
36.8 kB
3. ANN Intuition/3. The Neuron.srt
36.6 kB
14. Building a SOM/5. Building a SOM - Step 3.srt
36.0 kB
21. Building an AutoEncoder/11. Building an AutoEncoder - Step 6.srt
35.5 kB
6. CNN Intuition/10. Softmax & Cross-Entropy.srt
35.4 kB
18. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.srt
35.0 kB
23. Regression & Classification Intuition/5. Logistic Regression Intuition.srt
33.4 kB
24. Data Preprocessing Template/8. Data Preprocessing - Step 7.srt
33.4 kB
6. CNN Intuition/4. Step 1 - Convolution Operation.srt
33.0 kB
9. RNN Intuition/3. The idea behind Recurrent Neural Networks.srt
32.5 kB
21. Building an AutoEncoder/13. Building an AutoEncoder - Step 8.srt
31.9 kB
6. CNN Intuition/3. What are convolutional neural networks.srt
31.8 kB
17. Boltzmann Machine Intuition/5. Contrastive Divergence.srt
31.8 kB
4. Building an ANN/5. Building an ANN - Step 2.srt
31.7 kB
10. Building a RNN/14. Building a RNN - Step 13.srt
31.7 kB
13. SOMs Intuition/4. K-Means Clustering (Refresher).srt
31.6 kB
17. Boltzmann Machine Intuition/1. Boltzmann Machine.srt
31.0 kB
9. RNN Intuition/4. The Vanishing Gradient Problem.srt
30.4 kB
13. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).srt
29.8 kB
7. Building a CNN/3. Building a CNN - Step 2.srt
29.7 kB
7. Building a CNN/4. Building a CNN - Step 3.srt
29.6 kB
13. SOMs Intuition/8. Reading an Advanced SOM.srt
29.2 kB
6. CNN Intuition/6. Step 2 - Pooling.srt
29.2 kB
9. RNN Intuition/6. Practical intuition.srt
28.6 kB
15. Mega Case Study/4. Mega Case Study - Step 3.srt
28.4 kB
21. Building an AutoEncoder/12. Building an AutoEncoder - Step 7.srt
28.3 kB
3. ANN Intuition/6. How do Neural Networks learn.srt
28.1 kB
21. Building an AutoEncoder/14. Building an AutoEncoder - Step 9.srt
27.8 kB
3. ANN Intuition/5. How do Neural Networks work.srt
26.9 kB
14. Building a SOM/3. Building a SOM - Step 1.srt
26.9 kB
4. Building an ANN/8. Building an ANN - Step 5.srt
26.4 kB
24. Data Preprocessing Template/4. Data Preprocessing - Step 3.srt
26.4 kB
10. Building a RNN/5. Building a RNN - Step 4.srt
26.0 kB
13. SOMs Intuition/10. EXTRA K-means Clustering (part 3).srt
25.6 kB
18. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.srt
25.3 kB
18. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.srt
25.2 kB
25. Logistic Regression Implementation/8. Logistic Regression - Step 7.srt
24.6 kB
21. Building an AutoEncoder/6. Building an AutoEncoder - Step 2.srt
24.6 kB
21. Building an AutoEncoder/16. Building an AutoEncoder - Step 11.srt
24.5 kB
1. Welcome to the course/1. What is Deep Learning.srt
24.4 kB
24. Data Preprocessing Template/6. Data Preprocessing - Step 5.srt
24.4 kB
4. Building an ANN/6. Building an ANN - Step 3.srt
24.0 kB
25. Logistic Regression Implementation/3. Logistic Regression - Step 2.srt
23.9 kB
21. Building an AutoEncoder/5. Building an AutoEncoder - Step 1.srt
23.6 kB
18. Building a Boltzmann Machine/14. Building a Boltzmann Machine - Step 10.srt
23.1 kB
7. Building a CNN/6. Building a CNN - Step 5.srt
23.0 kB
24. Data Preprocessing Template/7. Data Preprocessing - Step 6.srt
22.4 kB
17. Boltzmann Machine Intuition/2. Energy-Based Models (EBM).srt
22.4 kB
20. AutoEncoders Intuition/1. Auto Encoders.srt
21.9 kB
14. Building a SOM/6. Building a SOM - Step 4.srt
21.9 kB
15. Mega Case Study/5. Mega Case Study - Step 4.srt
21.9 kB
18. Building a Boltzmann Machine/11. Building a Boltzmann Machine - Step 7.srt
21.3 kB
18. Building a Boltzmann Machine/3. Building a Boltzmann Machine - Introduction.srt
21.0 kB
4. Building an ANN/7. Building an ANN - Step 4.srt
20.7 kB
10. Building a RNN/6. Building a RNN - Step 5.srt
20.1 kB
24. Data Preprocessing Template/5. Data Preprocessing - Step 4.srt
19.8 kB
14. Building a SOM/4. Building a SOM - Step 2.srt
19.7 kB
3. ANN Intuition/7. Gradient Descent.srt
19.6 kB
10. Building a RNN/12. Building a RNN - Step 11.srt
19.1 kB
18. Building a Boltzmann Machine/5. Building a Boltzmann Machine - Step 1.srt
18.9 kB
18. Building a Boltzmann Machine/6. Building a Boltzmann Machine - Step 2.srt
18.8 kB
13. SOMs Intuition/6. How do Self-Organizing Maps Learn (Part 2).srt
18.8 kB
13. SOMs Intuition/2. How do Self-Organizing Maps Work.srt
18.7 kB
7. Building a CNN/2. Building a CNN - Step 1.srt
18.7 kB
10. Building a RNN/16. Building a RNN - Step 15.srt
18.1 kB
3. ANN Intuition/8. Stochastic Gradient Descent.srt
18.0 kB
24. Data Preprocessing Template/2. Data Preprocessing - Step 1.srt
17.8 kB
4. Building an ANN/3. Building an ANN - Step 1.srt
17.8 kB
13. SOMs Intuition/9. EXTRA K-means Clustering (part 2).srt
17.5 kB
3. ANN Intuition/4. The Activation Function.srt
17.3 kB
18. Building a Boltzmann Machine/7. Building a Boltzmann Machine - Step 3.srt
16.8 kB
21. Building an AutoEncoder/7. Building an AutoEncoder - Step 3.srt
16.6 kB
18. Building a Boltzmann Machine/10. Building a Boltzmann Machine - Step 6.srt
16.4 kB
10. Building a RNN/8. Building a RNN - Step 7.srt
16.3 kB
25. Logistic Regression Implementation/2. Logistic Regression - Step 1.srt
16.0 kB
25. Logistic Regression Implementation/7. Logistic Regression - Step 6.srt
15.2 kB
10. Building a RNN/15. Building a RNN - Step 14.srt
14.5 kB
18. Building a Boltzmann Machine/13. Building a Boltzmann Machine - Step 9.srt
13.9 kB
20. AutoEncoders Intuition/3. Training an Auto Encoder.srt
13.7 kB
18. Building a Boltzmann Machine/15. Building a Boltzmann Machine - Step 11.srt
13.1 kB
10. Building a RNN/3. Building a RNN - Step 2.srt
13.0 kB
6. CNN Intuition/5. Step 1(b) - ReLU Layer.srt
12.8 kB
20. AutoEncoders Intuition/5. Sparse Autoencoders.srt
12.5 kB
10. Building a RNN/2. Building a RNN - Step 1.srt
12.3 kB
25. Logistic Regression Implementation/4. Logistic Regression - Step 3.srt
12.3 kB
25. Logistic Regression Implementation/5. Logistic Regression - Step 4.srt
12.2 kB
7. Building a CNN/5. Building a CNN - Step 4.srt
11.7 kB
10. Building a RNN/9. Building a RNN - Step 8.srt
11.7 kB
23. Regression & Classification Intuition/2. Simple Linear Regression Intuition - Step 1.srt
11.5 kB
17. Boltzmann Machine Intuition/6. Deep Belief Networks.srt
10.8 kB
10. Building a RNN/4. Building a RNN - Step 3.srt
10.7 kB
18. Building a Boltzmann Machine/9. Building a Boltzmann Machine - Step 5.srt
10.6 kB
4. Building an ANN/1. Business Problem Description.srt
10.6 kB
25. Logistic Regression Implementation/6. Logistic Regression - Step 5.srt
10.5 kB
3. ANN Intuition/9. Backpropagation.srt
10.2 kB
21. Building an AutoEncoder/10. Building an AutoEncoder - Step 5.srt
10.2 kB
10. Building a RNN/13. Building a RNN - Step 12.srt
9.7 kB
10. Building a RNN/11. Building a RNN - Step 10.srt
9.6 kB
21. Building an AutoEncoder/15. Building an AutoEncoder - Step 10.srt
9.5 kB
13. SOMs Intuition/7. Live SOM example.srt
9.4 kB
15. Mega Case Study/3. Mega Case Study - Step 2.srt
9.0 kB
6. CNN Intuition/9. Summary.srt
8.7 kB
20. AutoEncoders Intuition/4. Overcomplete hidden layers.srt
8.3 kB
6. CNN Intuition/2. Plan of attack.srt
7.6 kB
9. RNN Intuition/7. EXTRA LSTM Variations.srt
6.9 kB
15. Mega Case Study/2. Mega Case Study - Step 1.srt
6.8 kB
17. Boltzmann Machine Intuition/3. Editing Wikipedia - Our Contribution to the World.srt
6.8 kB
13. SOMs Intuition/1. Plan of attack.srt
6.8 kB
10. Building a RNN/10. Building a RNN - Step 9.srt
6.7 kB
17. Boltzmann Machine Intuition/7. Deep Boltzmann Machines.srt
6.4 kB
10. Building a RNN/7. Building a RNN - Step 6.srt
6.3 kB
23. Regression & Classification Intuition/3. Simple Linear Regression Intuition - Step 2.srt
6.2 kB
24. Data Preprocessing Template/3. Data Preprocessing - Step 2.srt
6.1 kB
3. ANN Intuition/2. Plan of Attack.srt
5.7 kB
20. AutoEncoders Intuition/6. Denoising Autoencoders.srt
5.4 kB
16. ------------------------- Part 5 - Boltzmann Machines -------------------------/2. Plan of attack.srt
5.3 kB
20. AutoEncoders Intuition/7. Contractive Autoencoders.srt
5.0 kB
9. RNN Intuition/2. Plan of attack.srt
5.0 kB
13. SOMs Intuition/3. Why revisit K-Means.srt
4.9 kB
19. ---------------------------- Part 6 - AutoEncoders ----------------------------/2. Plan of attack.srt
4.8 kB
18. Building a Boltzmann Machine/19. Evaluating the Boltzmann Machine.html
4.6 kB
1. Welcome to the course/8. Your Shortcut To Becoming A Better Data Scientist!.html
4.1 kB
20. AutoEncoders Intuition/9. Deep Autoencoders.srt
3.9 kB
6. CNN Intuition/7. Step 3 - Flattening.srt
3.9 kB
14. Building a SOM/2. How to get the dataset.srt
3.6 kB
17. Boltzmann Machine Intuition/8. How to get the dataset.srt
3.6 kB
21. Building an AutoEncoder/2. How to get the dataset.srt
3.6 kB
20. AutoEncoders Intuition/8. Stacked Autoencoders.srt
3.4 kB
26. Bonus Lectures/1. YOUR SPECIAL BONUS.html
3.1 kB
1. Welcome to the course/6. FAQBot!.html
3.1 kB
20. AutoEncoders Intuition/2. A Note on Biases.srt
2.8 kB
21. Building an AutoEncoder/17. THANK YOU bonus video.srt
2.4 kB
23. Regression & Classification Intuition/4. Multiple Linear Regression Intuition.srt
2.2 kB
1. Welcome to the course/2. Updates on Udemy Reviews.srt
1.9 kB
10. Building a RNN/1. IMPORTANT NOTE.html
1.8 kB
11. Evaluating and Improving the RNN/1. Evaluating the RNN.html
1.8 kB
4. Building an ANN/2. IMPORTANT NOTE.html
1.7 kB
16. ------------------------- Part 5 - Boltzmann Machines -------------------------/1. Welcome to Part 5 - Boltzmann Machines.html
1.6 kB
21. Building an AutoEncoder/8. Homework Challenge - Coding Exercise.html
1.6 kB
7. Building a CNN/1. IMPORTANT NOTE.html
1.5 kB
21. Building an AutoEncoder/3. Installing PyTorch.html
1.4 kB
1. Welcome to the course/3. BONUS Learning Paths.html
1.4 kB
18. Building a Boltzmann Machine/2. Installing PyTorch.html
1.4 kB
11. Evaluating and Improving the RNN/2. Improving the RNN.html
1.3 kB
7. Building a CNN/7. Quick Note.html
1.2 kB
1. Welcome to the course/4. BONUS Meet Your Instructors.html
1.2 kB
8. ---------------------- Part 3 - Recurrent Neural Networks ----------------------/1. Welcome to Part 3 - Recurrent Neural Networks.html
1.1 kB
19. ---------------------------- Part 6 - AutoEncoders ----------------------------/1. Welcome to Part 6 - AutoEncoders.html
1.1 kB
25. Logistic Regression Implementation/1. Important Instructions.html
970 Bytes
24. Data Preprocessing Template/1. Important Instructions.html
929 Bytes
22. ------------------- Annex - Get the Machine Learning Basics -------------------/1. Annex - Get the Machine Learning Basics.html
899 Bytes
14. Building a SOM/1. IMPORTANT NOTE.html
794 Bytes
18. Building a Boltzmann Machine/1. IMPORTANT NOTE.html
681 Bytes
15. Mega Case Study/1. IMPORTANT NOTE.html
679 Bytes
21. Building an AutoEncoder/1. IMPORTANT NOTE.html
675 Bytes
23. Regression & Classification Intuition/1. What You Need for Regression & Classification.html
648 Bytes
1. Welcome to the course/5. Some Additional Resources!!.html
611 Bytes
4. Building an ANN/4. Check out our free course on ANN for Regression.html
533 Bytes
6. CNN Intuition/1. What You'll Need for CNN.html
375 Bytes
3. ANN Intuition/1. What You'll Need for ANN.html
374 Bytes
9. RNN Intuition/1. What You'll Need for RNN.html
366 Bytes
18. Building a Boltzmann Machine/4. Same Data Preprocessing in Parts 5 and 6.html
349 Bytes
21. Building an AutoEncoder/4. Same Data Preprocessing in Parts 5 and 6.html
348 Bytes
12. ------------------------ Part 4 - Self Organizing Maps ------------------------/1. Welcome to Part 4 - Self Organizing Maps.html
333 Bytes
1. Welcome to the course/7. Get the materials.html
330 Bytes
2. --------------------- Part 1 - Artificial Neural Networks ---------------------/1. Welcome to Part 1 - Artificial Neural Networks.html
309 Bytes
5. -------------------- Part 2 - Convolutional Neural Networks --------------------/1. Welcome to Part 2 - Convolutional Neural Networks.html
280 Bytes
0. Websites you may like/[FCS Forum].url
133 Bytes
0. Websites you may like/[FreeCourseSite.com].url
127 Bytes
0. Websites you may like/[CourseClub.ME].url
122 Bytes
==查看完整文档列表==
上一个:
www.lyrics.lol - Top Gear America 2021 S01E01 Supercars 480p x264-mSD
219.2 MB
下一个:
Invasion.S01E05.720p.rus.LostFilm.TV.mp4
1.3 GB
猜你喜欢
[FreeCourseSite.com] Udemy - Learn how to Build High...
2.5 GB
[FreeCourseSite.com] Udemy - Ultimate Laravel Course...
2.3 GB
[FreeCourseSite.com] Udemy - Complete Blender Creator...
20.6 GB
[FreeCourseSite.com] Udemy - Angular JS Complete Course
9.5 GB
[FreeCourseSite.com] Udemy - Easy Adsense Strategy -...
675.2 MB
[FreeCourseSite.com] Udemy - Instagram Masterclass 2018...
25.5 GB
[FreeCourseSite.com] Udemy - The Ultimate Drawing Course...
8.7 GB
[FreeCourseSite.com] Udemy - Illustrator CC 2019 MasterClass
2.0 GB
[FreeCourseSite.com] Udemy - Data Science with Python - Beginners
1.4 GB
[FreeCourseSite.com] Udemy - The Complete MySQL Bootcamp...
3.5 GB
种子标签
FreeCourseSite
Neural
Deep
Udemy
Artificial
Learning
Hands
com
Networks
种子评价
优质的种子 (0)
假种子 (0)
有密码 (0)
低质量 (0)
有病毒 (0)
无法下载 (0)
欢迎对种子质量进行评价。
最近搜索
pmc187
国教
29634361
vj4vj5
vyklyuchay
arsenault
manuva
726f0955
拳交马
分析师
cristoff
cead173
holicstyle
airi2
snis270fhd
antares
731f6139
a8a81003
easttown
ukiuki
sn4eda
escovedo
解藥
418715
560c3b929b778fec97f2e42be65e8c50
prosperites
5bb887b8
2557000
erectus
ratmen
人气女优
更多 »
北川ゆい
Akira
COCOLO
Saiko
あいだもも
あさのくるみ
あまいれもん
いしかわ愛里
いとうしいな
うさみ恭香
うちだまひろ
かぐやひめ
かとりこのみ
かないかほ
くすのき琴美
クミコグレース
くらもとまい(葉月ありさ)
さとみ
中村あみ
しいな純菜
しのざきさとみ(三沢亜也)
牧本千幸(つかもと友希)
眞木ありさ
デヴィ
テラ パトリック
ドミニカ
ともさかまい
ともさか愛
なごみもえ
ひなこ
最新番号
更多 »
MARCH-200
CETD-097
SEND-160
ISO-655
UGUG-028
DSE-814
SICP-101
YOGU-002
WNID-003
NATR-264
HHK-019
KICJ-830
TMSG-018
DDN-165
DANDY-038
ADZ-126
ZACK-008
ASFB-195
DUAL-201
VEC-022
ATP-250
VSPDS-464
MDLD-121
AOSBD-007
EMU-007
EMU-033
SDMS-187
DBEB-024
SDMS-471
GOTHIC-015
同时按Ctrl+D可快速添加本站到收藏夹!您也可以保存到
桌面快捷方式
。
分享BT种子/磁力链接
亲,你知道吗?下载的人越多速度越快,赶快把本页面分享给好友一起下载吧^_^
友情链接
蓝导航
|
找AV导航
|
花小猪导航
|
小X福利导航
|
不良研究所