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[FCS Forum].url |
133б |
[FreeCourseSite.com].url |
127б |
1. (Review) Gaussian Mixture Models.mp4 |
4.99Мб |
1. (Review) Gaussian Mixture Models.vtt |
3.33Кб |
1. Example Problem Sick or Healthy.mp4 |
5.54Мб |
1. Example Problem Sick or Healthy.vtt |
4.33Кб |
1. From Markov Models to Hidden Markov Models.mp4 |
10.17Мб |
1. From Markov Models to Hidden Markov Models.vtt |
7.93Кб |
1. Gaussian Mixture Models with Hidden Markov Models.mp4 |
16.46Мб |
1. Gaussian Mixture Models with Hidden Markov Models.vtt |
4.92Кб |
1. Generative vs. Discriminative Classifiers.mp4 |
4.12Мб |
1. Generative vs. Discriminative Classifiers.vtt |
3.26Кб |
1. Gradient Descent Tutorial.mp4 |
22.81Мб |
1. Gradient Descent Tutorial.vtt |
5.19Кб |
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.vtt |
5.42Кб |
1. Parts-of-Speech Tagging Concepts.mp4 |
8.51Мб |
1. Parts-of-Speech Tagging Concepts.vtt |
6.34Кб |
1. The Markov Property.mp4 |
8.31Мб |
1. The Markov Property.vtt |
6.22Кб |
1. What is the Appendix.mp4 |
5.45Мб |
1. What is the Appendix.vtt |
3.38Кб |
10. Baum-Welch Updates for Multiple Observations.mp4 |
7.48Мб |
10. Baum-Welch Updates for Multiple Observations.vtt |
5.60Кб |
10. What order should I take your courses in (part 1).mp4 |
29.33Мб |
10. What order should I take your courses in (part 1).vtt |
15.16Кб |
11. Discrete HMM in Code.mp4 |
47.43Мб |
11. Discrete HMM in Code.vtt |
13.46Кб |
11. What order should I take your courses in (part 2).mp4 |
37.63Мб |
11. What order should I take your courses in (part 2).vtt |
22.30Кб |
12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 |
4.03Мб |
12. BONUS Where to get Udemy coupons and FREE deep learning material.vtt |
3.30Кб |
12. The underflow problem and how to solve it.mp4 |
7.65Мб |
12. The underflow problem and how to solve it.vtt |
6.12Кб |
13. Discrete HMM Updates in Code with Scaling.mp4 |
29.14Мб |
13. Discrete HMM Updates in Code with Scaling.vtt |
7.84Кб |
14. Scaled Viterbi Algorithm in Log Space.mp4 |
9.23Мб |
14. Scaled Viterbi Algorithm in Log Space.vtt |
2.40Кб |
2. (Review) Theano Tutorial.mp4 |
19.86Мб |
2. (Review) Theano Tutorial.vtt |
7.07Кб |
2. Example Problem Expected number of continuously sick days.mp4 |
4.63Мб |
2. Example Problem Expected number of continuously sick days.vtt |
3.32Кб |
2. Generating Data from a Real-Valued HMM.mp4 |
14.95Мб |
2. Generating Data from a Real-Valued HMM.vtt |
3.99Кб |
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).vtt |
7.79Кб |
2. HMMs are Doubly Embedded.mp4 |
1.54Мб |
2. HMMs are Doubly Embedded.vtt |
2.60Кб |
2. Markov Models.mp4 |
8.17Мб |
2. Markov Models.vtt |
5.94Кб |
2. POS Tagging with an HMM.mp4 |
14.39Мб |
2. POS Tagging with an HMM.vtt |
4.56Кб |
2. Theano Scan Tutorial.mp4 |
23.76Мб |
2. Theano Scan Tutorial.vtt |
11.26Кб |
2. Unsupervised or Supervised.mp4 |
5.27Мб |
2. Unsupervised or Supervised.vtt |
3.67Кб |
2. Windows-Focused Environment Setup 2018.mp4 |
186.33Мб |
2. Windows-Focused Environment Setup 2018.vtt |
18.66Кб |
3. (Review) Tensorflow Tutorial.mp4 |
13.89Мб |
3. (Review) Tensorflow Tutorial.vtt |
5.61Кб |
3. Continuous-Observation HMM in Code (part 1).mp4 |
46.69Мб |
3. Continuous-Observation HMM in Code (part 1).vtt |
11.30Кб |
3. Discrete HMM in Theano.mp4 |
30.74Мб |
3. Discrete HMM in Theano.vtt |
7.40Кб |
3. Example application SEO and Bounce Rate Optimization.mp4 |
15.83Мб |
3. Example application SEO and Bounce Rate Optimization.vtt |
9.46Кб |
3. How can we choose the number of hidden states.mp4 |
7.35Мб |
3. How can we choose the number of hidden states.vtt |
5.57Кб |
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.92Мб |
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt |
13.40Кб |
3. The Math of Markov Chains.mp4 |
9.04Мб |
3. The Math of Markov Chains.vtt |
6.71Кб |
3. Where to get the Code and Data.mp4 |
2.09Мб |
3. Where to get the Code and Data.vtt |
1.73Кб |
4. Continuous-Observation HMM in Code (part 2).mp4 |
15.29Мб |
4. Continuous-Observation HMM in Code (part 2).vtt |
2.90Кб |
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.vtt |
12.34Кб |
4. How to Code by Yourself (part 1).mp4 |
24.54Мб |
4. How to Code by Yourself (part 1).vtt |
21.32Кб |
4. How to Succeed in this Course.mp4 |
3.30Мб |
4. How to Succeed in this Course.vtt |
3.74Кб |
4. Improving our Gradient Descent-Based HMM.mp4 |
25.95Мб |
4. Improving our Gradient Descent-Based HMM.vtt |
5.91Кб |
4. The Forward-Backward Algorithm.mp4 |
22.44Мб |
4. The Forward-Backward Algorithm.vtt |
5.21Кб |
5. Continuous HMM in Theano.mp4 |
45.41Мб |
5. Continuous HMM in Theano.vtt |
10.45Кб |
5. Example Application Google’s PageRank algorithm.mp4 |
8.72Мб |
5. Example Application Google’s PageRank algorithm.vtt |
6.51Кб |
5. How to Code by Yourself (part 2).mp4 |
14.81Мб |
5. How to Code by Yourself (part 2).vtt |
12.41Кб |
5. Tensorflow Scan Tutorial.mp4 |
23.07Мб |
5. Tensorflow Scan Tutorial.vtt |
14.03Кб |
5. Visual Intuition for the Forward Algorithm.mp4 |
6.03Мб |
5. Visual Intuition for the Forward Algorithm.vtt |
4.46Кб |
6. Continuous HMM in Tensorflow.mp4 |
22.46Мб |
6. Continuous HMM in Tensorflow.vtt |
10.36Кб |
6. Discrete HMM in Tensorflow.mp4 |
16.44Мб |
6. Discrete HMM in Tensorflow.vtt |
8.44Кб |
6. How to Succeed in this Course (Long Version).mp4 |
18.32Мб |
6. How to Succeed in this Course (Long Version).vtt |
13.71Кб |
6. The Viterbi Algorithm.mp4 |
5.04Мб |
6. The Viterbi Algorithm.vtt |
3.49Кб |
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
38.96Мб |
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt |
29.90Кб |
7. Visual Intuition for the Viterbi Algorithm.mp4 |
15.68Мб |
7. Visual Intuition for the Viterbi Algorithm.vtt |
3.91Кб |
8. Proof that using Jupyter Notebook is the same as not using it.mp4 |
78.28Мб |
8. Proof that using Jupyter Notebook is the same as not using it.vtt |
13.18Кб |
8. The Baum-Welch Algorithm.mp4 |
4.35Мб |
8. The Baum-Welch Algorithm.vtt |
2.97Кб |
9. Baum-Welch Explanation and Intuition.mp4 |
11.97Мб |
9. Baum-Welch Explanation and Intuition.vtt |
8.06Кб |
9. Python 2 vs Python 3.mp4 |
7.84Мб |
9. Python 2 vs Python 3.vtt |
5.90Кб |