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