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【影视】 Unsupervised

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【影视】 [FreeTutorials.Us] unsupervised-deep-learning-in-python

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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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【影视】 [FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

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10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. 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
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

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【影视】 [FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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【影视】 Cluster Analysis and Unsupervised Machine Learning in Python

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[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/5. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/4. Gaussian Mixture Models (GMMs)/2. Write a Gaussian Mixture Model in Python Code.mp4 144.1 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/2. K-Means Clustering/7. Hard K-Means Exercise 3 Solution.mp4 95.8 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/6. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/1. Introduction to Unsupervised Learning/6. Anyone Can Succeed in this Course.mp4 81.9 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/4. Gaussian Mixture Models (GMMs)/1. Gaussian Mixture Model (GMM) Algorithm.mp4 69.0 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/2. K-Means Clustering/3. Hard K-Means Exercise 1 Solution.mp4 58.1 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/1. Introduction to Unsupervised Learning/4. Why Use Clustering.mp4 57.5 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/2. K-Means Clustering/8. Hard K-Means Objective Theory.mp4 54.4 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/2. K-Means Clustering/2. Hard K-Means Exercise Prompt 1.mp4 52.5 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/4. Gaussian Mixture Models (GMMs)/8. Expectation-Maximization (pt 1).mp4 52.2 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/1. Introduction to Unsupervised Learning/1. Introduction.mp4 47.9 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/4. Gaussian Mixture Models (GMMs)/7. GMM vs Bayes Classifier (pt 2).mp4 47.4 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/5. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/4. Gaussian Mixture Models (GMMs)/3. Practical Issues with GMM Singular Covariance.mp4 45.4 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/2. K-Means Clustering/21. Clustering for NLP and Computer Vision Real-World Applications.mp4 44.5 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/2. K-Means Clustering/6. Hard K-Means Exercise Prompt 3.mp4 43.9 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/4. Gaussian Mixture Models (GMMs)/6. GMM vs Bayes Classifier (pt 1).mp4 43.3 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/7. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python/8. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.6 MB

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【影视】 Unsupervised Machine Learning with Python

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[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/6. Section 7.4 Gaussian Mixture Model Code Walkthrough.mp4 294.2 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/4. Section 4.3 Hierarchical Clustering Code Walkthrough.mp4 247.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/4. Section 6.3 K Means Code Walkthrough.mp4 207.9 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/2. Section 2.1 Numpy Basic Demos.mp4 195.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/6. Section 10.4 Clustering for BBC Text Dataset.mp4 195.0 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/2. Section 10.2 Clustering for Iris Flower Dataset.mp4 186.5 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/4. Section 5.3 DBSCAN Code Walkthrough.mp4 183.2 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/8. Section 2.4 Matplotlib Cluster Plot and Animation Demo.mp4 169.8 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/7. Section 9.4 PCA Applied to MNIST Digits Dataset.mp4 164.3 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/1. Section 8.1 Metrics for Measuring Quality of Clustering.mp4 153.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/2. Section 9.1 Principal Component Analysis Algorithm.mp4 148.1 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/4. Section 10.3 Clustering for MNIST Digits Dataset.mp4 131.8 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/1. Section 7.1 Normal Distribution Probability Density Function.mp4 130.6 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/3. Section 8.2 Comparison of Algorithms.mp4 120.3 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/1. Section 10.1 Clustering Quality Metrics.mp4 118.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/8. Section 3.4 Singular Value Decomposition.mp4 108.8 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/5. Section 9.3 Principal Component Analysis Code Walkthrough.mp4 107.2 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/2. Section 3.1 What is Data in Unsupervised Learning.mp4 105.7 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/1. Introduction/3. Section 1.3 Course Resources and Set Up.mp4 103.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/3. Section 4.2 Hierarchical Clustering Code Design.mp4 103.0 MB

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【影视】 [FreeCourseSite.com] Udemy - Unsupervised Deep Learning in Python

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12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4 134.8 MB
9. Applications to Recommender Systems/5. AutoRec in Code.mp4 107.3 MB
10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
10. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
10. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt 87.0 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4 87.0 MB
10. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4 71.5 MB
10. Basics Review/6. (Review) Keras in Code pt 1.mp4 69.4 MB
2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4 56.3 MB
2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4 53.8 MB
2. Principal Components Analysis/2. How does PCA work.mp4 53.4 MB
5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4 51.5 MB
9. Applications to Recommender Systems/4. AutoRec.mp4 51.3 MB
5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4 50.1 MB

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【压缩文件】 K-Means for Cluster Analysis and Unsupervised Learning

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【影视】 [ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning with 2 Capstone ML Projects

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~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.mp4 103.6 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.mp4 100.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.mp4 92.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.mp4 85.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.mp4 83.1 MB
~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.mp4 81.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.mp4 79.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.mp4 77.3 MB
~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.mp4 77.0 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.mp4 75.1 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.mp4 74.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.mp4 74.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.mp4 70.3 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.mp4 68.4 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.mp4 68.0 MB
~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.mp4 66.7 MB
~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.mp4 64.8 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.mp4 60.6 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.mp4 59.8 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.mp4 59.5 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Unlocking the Secrets of Data - Unsupervised Learning with R

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~Get Your Files Here !/2. Unsupervised Learning Clustering/5. Using Hierarchical Clustering in R.mp4 289.9 MB
~Get Your Files Here !/2. Unsupervised Learning Clustering/3. Getting and Loading the College Scorecard Data.mp4 174.3 MB
~Get Your Files Here !/2. Unsupervised Learning Clustering/4. Scaling The Data - Required for Clustering Analyses.mp4 169.7 MB
~Get Your Files Here !/2. Unsupervised Learning Clustering/7. Cluster Validity.mp4 136.1 MB
~Get Your Files Here !/2. Unsupervised Learning Clustering/1. Introduction to Clustering.mp4 123.5 MB
~Get Your Files Here !/2. Unsupervised Learning Clustering/6. Running a kMeans Clustering Analysis in R.mp4 116.7 MB
~Get Your Files Here !/3. Unsupervised Learning Dimensionality Reduction/3. PCA in R - Part 1.mp4 103.8 MB
~Get Your Files Here !/2. Unsupervised Learning Clustering/2. Example of using College Scorecard Data - from Industry.mp4 98.9 MB
~Get Your Files Here !/4. Unsupervised Learning Association Rule Mining (aka Market Basket Analysis)/4. Cleaning and Preparing Data for Frequent Itemset Mining and Association Rules.mp4 89.3 MB
~Get Your Files Here !/3. Unsupervised Learning Dimensionality Reduction/1. Introduction to Dimensionality Reduction.mp4 82.3 MB
~Get Your Files Here !/3. Unsupervised Learning Dimensionality Reduction/4. PCA in R - Part 2.mp4 80.8 MB
~Get Your Files Here !/4. Unsupervised Learning Association Rule Mining (aka Market Basket Analysis)/5. Frequent Itemsets.mp4 74.2 MB
~Get Your Files Here !/3. Unsupervised Learning Dimensionality Reduction/2. Feature Removal of Highly Correlated Features.mp4 73.9 MB
~Get Your Files Here !/1. Introduction/2. Instructor Welcome.mp4 68.0 MB
~Get Your Files Here !/4. Unsupervised Learning Association Rule Mining (aka Market Basket Analysis)/3. Measuring Results of Association Rules.mp4 54.8 MB
~Get Your Files Here !/4. Unsupervised Learning Association Rule Mining (aka Market Basket Analysis)/2. Introduction to Frequent Itemset Mining and Association Rule Mining - Part 2.mp4 53.2 MB
~Get Your Files Here !/1. Introduction/5. Getting Data Sets.mp4 53.2 MB
~Get Your Files Here !/4. Unsupervised Learning Association Rule Mining (aka Market Basket Analysis)/7. Sorting Itemsets and Rules.mp4 50.3 MB
~Get Your Files Here !/4. Unsupervised Learning Association Rule Mining (aka Market Basket Analysis)/6. Association Rules.mp4 48.1 MB
~Get Your Files Here !/4. Unsupervised Learning Association Rule Mining (aka Market Basket Analysis)/1. Introduction to Frequent Itemset Mining and Association Rule Mining - Part 1.mp4 46.4 MB

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12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
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9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4 71.5 MB
10. Basics Review/6. (Review) Keras in Code pt 1.mp4 69.4 MB
2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4 56.3 MB
2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4 53.8 MB
2. Principal Components Analysis/2. How does PCA work.mp4 53.4 MB
5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4 51.5 MB
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