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585б |
1. (Review) Gaussian Mixture Models.mp4 |
4.99Мб |
1. (Review) Gaussian Mixture Models.srt |
3.67Кб |
1. Example Problem Sick or Healthy.mp4 |
5.54Мб |
1. Example Problem Sick or Healthy.srt |
4.82Кб |
1. From Markov Models to Hidden Markov Models.mp4 |
10.17Мб |
1. From Markov Models to Hidden Markov Models.srt |
8.78Кб |
1. Gaussian Mixture Models with Hidden Markov Models.mp4 |
16.46Мб |
1. Gaussian Mixture Models with Hidden Markov Models.srt |
5.17Кб |
1. Generative vs. Discriminative Classifiers.mp4 |
4.12Мб |
1. Generative vs. Discriminative Classifiers.srt |
3.60Кб |
1. Gradient Descent Tutorial.mp4 |
22.82Мб |
1. Gradient Descent Tutorial.srt |
5.50Кб |
1. How to Code by Yourself (part 1).mp4 |
24.54Мб |
1. How to Code by Yourself (part 1).srt |
22.75Кб |
1. How to Succeed in this Course (Long Version).mp4 |
18.31Мб |
1. How to Succeed in this Course (Long Version).srt |
14.55Кб |
1. Introduction and Outline Why would you want to use an HMM.mp4 |
6.78Мб |
1. Introduction and Outline Why would you want to use an HMM.srt |
5.99Кб |
1. Parts-of-Speech Tagging Concepts.mp4 |
8.51Мб |
1. Parts-of-Speech Tagging Concepts.srt |
7.04Кб |
1. The Markov Property.mp4 |
24.06Мб |
1. The Markov Property.srt |
6.63Кб |
1. What is the Appendix.mp4 |
5.45Мб |
1. What is the Appendix.srt |
3.72Кб |
1. Windows-Focused Environment Setup 2018.mp4 |
186.33Мб |
1. Windows-Focused Environment Setup 2018.srt |
20.10Кб |
10. HMM Training (part 1).mp4 |
20.60Мб |
10. HMM Training (part 1).srt |
5.67Кб |
11. HMM Training (part 2).mp4 |
39.98Мб |
11. HMM Training (part 2).srt |
11.74Кб |
12. HMM Training (part 3).mp4 |
60.15Мб |
12. HMM Training (part 3).srt |
15.77Кб |
13. HMM Training (part 4).mp4 |
55.56Мб |
13. HMM Training (part 4).srt |
14.19Кб |
14. How to Choose the Number of Hidden States.mp4 |
33.86Мб |
14. How to Choose the Number of Hidden States.srt |
9.28Кб |
15. Baum-Welch Updates for Multiple Observations.mp4 |
7.48Мб |
15. Baum-Welch Updates for Multiple Observations.srt |
5.91Кб |
16. Discrete HMM in Code.mp4 |
47.42Мб |
16. Discrete HMM in Code.srt |
15.40Кб |
17. The underflow problem and how to solve it.mp4 |
7.65Мб |
17. The underflow problem and how to solve it.srt |
6.42Кб |
18. Discrete HMM Updates in Code with Scaling.mp4 |
29.14Мб |
18. Discrete HMM Updates in Code with Scaling.srt |
8.97Кб |
19. Scaled Viterbi Algorithm in Log Space.mp4 |
9.23Мб |
19. Scaled Viterbi Algorithm in Log Space.srt |
2.75Кб |
2. (Review) Theano Tutorial.mp4 |
19.86Мб |
2. (Review) Theano Tutorial.srt |
7.93Кб |
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 |
37.83Мб |
2. BONUS Where to get Udemy coupons and FREE deep learning material.srt |
7.87Кб |
2. Example Problem Expected number of continuously sick days.mp4 |
4.63Мб |
2. Example Problem Expected number of continuously sick days.srt |
3.71Кб |
2. Generating Data from a Real-Valued HMM.mp4 |
14.94Мб |
2. Generating Data from a Real-Valued HMM.srt |
4.57Кб |
2. HMM - Basic Examples.mp4 |
42.35Мб |
2. HMM - Basic Examples.srt |
10.08Кб |
2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 |
24.39Мб |
2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt |
8.76Кб |
2. How to Code by Yourself (part 2).mp4 |
14.80Мб |
2. How to Code by Yourself (part 2).srt |
13.26Кб |
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.92Мб |
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt |
14.48Кб |
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
38.95Мб |
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt |
31.79Кб |
2. Markov Models.mp4 |
32.47Мб |
2. Markov Models.srt |
8.73Кб |
2. POS Tagging with an HMM.mp4 |
14.38Мб |
2. POS Tagging with an HMM.srt |
5.16Кб |
2. Theano Scan Tutorial.mp4 |
23.76Мб |
2. Theano Scan Tutorial.srt |
12.75Кб |
2. Unsupervised or Supervised.mp4 |
5.28Мб |
2. Unsupervised or Supervised.srt |
4.03Кб |
3. (Review) Tensorflow Tutorial.mp4 |
13.88Мб |
3. (Review) Tensorflow Tutorial.srt |
5.92Кб |
3.1 Github Link.html |
120б |
3. Continuous-Observation HMM in Code (part 1).mp4 |
46.69Мб |
3. Continuous-Observation HMM in Code (part 1).srt |
13.06Кб |
3. Discrete HMM in Theano.mp4 |
30.74Мб |
3. Discrete HMM in Theano.srt |
8.41Кб |
3. Example application SEO and Bounce Rate Optimization.mp4 |
15.82Мб |
3. Example application SEO and Bounce Rate Optimization.srt |
10.64Кб |
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 |
29.32Мб |
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt |
16.03Кб |
3. Parameters of an HMM.mp4 |
31.32Мб |
3. Parameters of an HMM.srt |
8.97Кб |
3. Proof that using Jupyter Notebook is the same as not using it.mp4 |
78.27Мб |
3. Proof that using Jupyter Notebook is the same as not using it.srt |
14.12Кб |
3. The Math of Markov Chains.mp4 |
23.94Мб |
3. The Math of Markov Chains.srt |
6.81Кб |
3. Where to get the Code and Data.mp4 |
2.09Мб |
3. Where to get the Code and Data.srt |
1.71Кб |
4. Anyone Can Succeed in this Course.mp4 |
77.88Мб |
4. Anyone Can Succeed in this Course.srt |
17.10Кб |
4. Continuous-Observation HMM in Code (part 2).mp4 |
15.28Мб |
4. Continuous-Observation HMM in Code (part 2).srt |
3.35Кб |
4. Example Application Build a 2nd-order language model and generate phrases.mp4 |
26.93Мб |
4. Example Application Build a 2nd-order language model and generate phrases.srt |
13.91Кб |
4. Improving our Gradient Descent-Based HMM.mp4 |
25.95Мб |
4. Improving our Gradient Descent-Based HMM.srt |
6.36Кб |
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 |
37.62Мб |
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt |
23.04Кб |
4. Python 2 vs Python 3.mp4 |
7.83Мб |
4. Python 2 vs Python 3.srt |
6.10Кб |
4. The 3 Problems of an HMM.mp4 |
28.03Мб |
4. The 3 Problems of an HMM.srt |
7.54Кб |
5. Continuous HMM in Theano.mp4 |
45.41Мб |
5. Continuous HMM in Theano.srt |
11.88Кб |
5. Example Application Google’s PageRank algorithm.mp4 |
8.72Мб |
5. Example Application Google’s PageRank algorithm.srt |
7.28Кб |
5. Tensorflow Scan Tutorial.mp4 |
23.07Мб |
5. Tensorflow Scan Tutorial.srt |
14.92Кб |
5. The Forward-Backward Algorithm (part 1).mp4 |
65.13Мб |
5. The Forward-Backward Algorithm (part 1).srt |
20.17Кб |
6. Continuous HMM in Tensorflow.mp4 |
22.45Мб |
6. Continuous HMM in Tensorflow.srt |
10.85Кб |
6. Discrete HMM in Tensorflow.mp4 |
16.44Мб |
6. Discrete HMM in Tensorflow.srt |
8.89Кб |
6. Suggestion Box.mp4 |
16.12Мб |
6. Suggestion Box.srt |
4.70Кб |
6. The Forward-Backward Algorithm (part 2).mp4 |
27.56Мб |
6. The Forward-Backward Algorithm (part 2).srt |
8.20Кб |
7. The Forward-Backward Algorithm (part 3).mp4 |
25.97Мб |
7. The Forward-Backward Algorithm (part 3).srt |
9.20Кб |
8. The Viterbi Algorithm (part 1).mp4 |
27.55Мб |
8. The Viterbi Algorithm (part 1).srt |
7.40Кб |
9. The Viterbi Algorithm (part 2).mp4 |
59.34Мб |
9. The Viterbi Algorithm (part 2).srt |
17.62Кб |
TutsNode.com.txt |
63б |