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文件列表
01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4
7.1 MB
01 Introduction and Outline/002 Unsupervised or Supervised.mp4
5.5 MB
01 Introduction and Outline/003 Where to get the Code and Data.mp4
2.2 MB
01 Introduction and Outline/004 How to Succeed in this Course.mp4
9.2 MB
02 Markov Models/005 The Markov Property.mp4
8.7 MB
02 Markov Models/006 Markov Models.mp4
8.6 MB
02 Markov Models/007 The Math of Markov Chains.mp4
9.5 MB
03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4
5.8 MB
03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4
4.9 MB
03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4
16.6 MB
03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4
28.2 MB
03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4
9.1 MB
04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4
10.7 MB
04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4
3.3 MB
04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4
7.7 MB
04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4
7.1 MB
04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4
6.3 MB
04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4
5.3 MB
04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp4
6.0 MB
04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp4
4.6 MB
04 Hidden Markov Models for Discrete Observations/021 Baum-Welch Explanation and Intuition.mp4
12.5 MB
04 Hidden Markov Models for Discrete Observations/022 Baum-Welch Updates for Multiple Observations.mp4
7.8 MB
04 Hidden Markov Models for Discrete Observations/023 Discrete HMM in Code.mp4
49.7 MB
04 Hidden Markov Models for Discrete Observations/024 The underflow problem and how to solve it.mp4
8.0 MB
04 Hidden Markov Models for Discrete Observations/025 Discrete HMM Updates in Code with Scaling.mp4
30.6 MB
04 Hidden Markov Models for Discrete Observations/026 Scaled Viterbi Algorithm in Log Space.mp4
9.7 MB
05 Discrete HMMs Using Deep Learning Libraries/027 Gradient Descent Tutorial.mp4
8.8 MB
05 Discrete HMMs Using Deep Learning Libraries/028 Theano Scan Tutorial.mp4
24.9 MB
05 Discrete HMMs Using Deep Learning Libraries/029 Discrete HMM in Theano.mp4
32.2 MB
05 Discrete HMMs Using Deep Learning Libraries/030 Improving our Gradient Descent-Based HMM.mp4
8.4 MB
05 Discrete HMMs Using Deep Learning Libraries/031 Tensorflow Scan Tutorial.mp4
24.2 MB
05 Discrete HMMs Using Deep Learning Libraries/032 Discrete HMM in Tensorflow.mp4
17.2 MB
06 HMMs for Continuous Observations/033 Gaussian Mixture Models with Hidden Markov Models.mp4
6.6 MB
06 HMMs for Continuous Observations/034 Generating Data from a Real-Valued HMM.mp4
15.7 MB
06 HMMs for Continuous Observations/035 Continuous-Observation HMM in Code part 1.mp4
49.0 MB
06 HMMs for Continuous Observations/036 Continuous-Observation HMM in Code part 2.mp4
16.0 MB
06 HMMs for Continuous Observations/037 Continuous HMM in Theano.mp4
47.6 MB
06 HMMs for Continuous Observations/038 Continuous HMM in Tensorflow.mp4
23.5 MB
07 HMMs for Classification/039 Generative vs. Discriminative Classifiers.mp4
4.3 MB
07 HMMs for Classification/040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp4
25.6 MB
08 Bonus Example Parts-of-Speech Tagging/041 Parts-of-Speech Tagging Concepts.mp4
8.9 MB
08 Bonus Example Parts-of-Speech Tagging/042 POS Tagging with an HMM.mp4
15.1 MB
09 Appendix/043 Review of Gaussian Mixture Models.mp4
5.2 MB
09 Appendix/044 Theano Tutorial.mp4
20.8 MB
09 Appendix/045 Tensorflow Tutorial.mp4
14.6 MB
09 Appendix/046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
46.0 MB
09 Appendix/047 How to Code by Yourself part 1.mp4
25.7 MB
09 Appendix/048 How to Code by Yourself part 2.mp4
15.5 MB
09 Appendix/049 BONUS Where to get Udemy coupons and FREE deep learning material.mp4
4.2 MB
[FreeTutorials.Us].txt
75 Bytes
Freetutorials.Us.url
119 Bytes
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