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10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
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4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
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4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
12/4. What order should I take your courses in (part 2).mp4 39.5 MB
4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
2. Markov Models/2. Markov Models.mp4 34.1 MB
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5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
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Unsupervised s01e02 ketchuptv.avi 185.9 MB
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Unsupervised s01e05 ketchuptv.avi 184.1 MB
Unsupervised s01e06 ketchuptv.avi 182.5 MB
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09 Jesse Judge Lawncare Incorporated.mp4 205.4 MB
10 Youngbloods.mp4 221.4 MB
05 Stupid Idiots.mp4 221.9 MB
06 Nits.mp4 226.0 MB
07 The Magic of Science.mp4 226.1 MB
01 Pilot.mp4 227.1 MB
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01 Introduction to Unsupervised Learning/001 Introduction and Outline.mp4 4.3 MB
01 Introduction to Unsupervised Learning/002 What is unsupervised learning used for.mp4 7.9 MB
01 Introduction to Unsupervised Learning/003 Why Use Clustering.mp4 7.0 MB
01 Introduction to Unsupervised Learning/004 How to Succeed in this Course.mp4 9.2 MB
02 K-Means Clustering/005 Visual Walkthrough of the K-Means Clustering Algorithm.mp4 5.1 MB
02 K-Means Clustering/006 Soft K-Means.mp4 4.4 MB
02 K-Means Clustering/007 The K-Means Objective Function.mp4 3.2 MB
02 K-Means Clustering/008 Soft K-Means in Python Code.mp4 31.7 MB
02 K-Means Clustering/009 Visualizing Each Step of K-Means.mp4 5.5 MB
02 K-Means Clustering/010 Examples of where K-Means can fail.mp4 17.8 MB
02 K-Means Clustering/011 Disadvantages of K-Means Clustering.mp4 4.1 MB
02 K-Means Clustering/012 How to Evaluate a Clustering Purity Davies-Bouldin Index.mp4 11.9 MB
02 K-Means Clustering/013 Using K-Means on Real Data MNIST.mp4 11.2 MB
02 K-Means Clustering/014 One Way to Choose K.mp4 9.5 MB
02 K-Means Clustering/015 K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
03 Hierarchical Clustering/016 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4 4.6 MB
03 Hierarchical Clustering/017 Agglomerative Clustering Options.mp4 6.5 MB
03 Hierarchical Clustering/018 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
04 Gaussian Mixture Models GMMs/019 Description of the Gaussian Mixture Model and How to Train a GMM.mp4 5.5 MB
04 Gaussian Mixture Models GMMs/020 Comparison between GMM and K-Means.mp4 3.1 MB
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- 【影视】 Unsupervised Machine Learning Hidden Markov Models in Python
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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
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- 收录时间:2017-08-18 文档个数:40 文档大小:583.4 MB 最近下载:2025-02-09 人气:1563 磁力链接
01 Introduction and Outline/001 Introduction and Outline.mp4 3.4 MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 5.4 MB
01 Introduction and Outline/003 How to Succeed in this Course.mp4 10.0 MB
02 Principal Components Analysis/004 What does PCA do.mp4 12.1 MB
02 Principal Components Analysis/005 PCA derivation.mp4 7.0 MB
02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4 9.8 MB
02 Principal Components Analysis/007 PCA objective function.mp4 3.9 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4 8.3 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp4 15.8 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4 9.8 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4 4.6 MB
04 Autoencoders/012 Autoencoders.mp4 6.1 MB
04 Autoencoders/013 Denoising Autoencoders.mp4 3.6 MB
04 Autoencoders/014 Stacked Autoencoders.mp4 6.9 MB
04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4 40.4 MB
04 Autoencoders/016 Testing our Autoencoder Theano.mp4 11.9 MB
04 Autoencoders/017 Writing the deep neural network class in code Theano.mp4 44.0 MB
04 Autoencoders/018 Autoencoder in Code Tensorflow.mp4 25.6 MB
04 Autoencoders/019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4 19.4 MB
04 Autoencoders/020 Cross Entropy vs. KL Divergence.mp4 7.8 MB
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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
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01 Pilot (1080p HD).mp4 911.5 MB
02 Rich Girl (1080p HD).mp4 870.2 MB
03 Field of Dreams…and Dogs (1080p HD).mp4 813.7 MB
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