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09-Materials.mp4 509.2 MB
10-Rendering-Part-1.mp4 429.5 MB
11-Rendering-Part-2.mp4 593.4 MB
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【影视】 [FreeCoursesOnline.Me] ZeroToMastery - PyTorch for Deep Learning

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【影视】 [FreeTutorials.Us] cluster-analysis-unsupervised-machine-learning-python

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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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【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】 Introduction to PyTorch and Machine Learning

收录时间:2022-02-20 文档个数:40 文档大小:991.3 MB 最近下载:2025-02-09 人气:254 磁力链接

Introduction to PyTorch and Machine Learning/3. Working with Real World Data/3. Essential Python Recipes for Deep Learning.mp4 418.6 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/1. Linear Regression with PyTorch.mp4 413.6 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/9. Recap Linear Regression.mp4 24.0 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/4. Tensors and Gradients.mp4 16.3 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/6. Compute gradients automatically.mp4 15.2 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/7. Gradient Descent.mp4 14.2 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/2. Anaconda Installation.mp4 13.0 MB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/2. Downloading Data from Kaggle.mp4 10.9 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/5. Numpy and PyTorch interoperability.mp4 10.8 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/3. Starting Jupyter & Creating Notebooks.mp4 10.0 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/8. Train multiple epochs.mp4 9.1 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/4. Define model & generate predictions.mp4 8.1 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/5. Loss Function.mp4 6.9 MB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/1. Introduction to Kaggle.mp4 6.0 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/3. Initialize Weights and Biases.mp4 5.7 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/2. Training Data as Matrices.mp4 4.7 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/1. Introduction to Linear Regression.mp4 4.0 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/1. Linear Regression with PyTorch.vtt 66.0 kB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/3. Essential Python Recipes for Deep Learning.vtt 51.3 kB
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【影视】 [FreeTutorials.Us] unsupervised-machine-learning-hidden-markov-models-in-python

收录时间:2017-08-19 文档个数:51 文档大小:744.9 MB 最近下载:2025-02-09 人气:643 磁力链接

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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【影视】 [UdemyCourseDownloader] Learning Cloud Computing Core Concepts

收录时间:2021-05-12 文档个数:53 文档大小:189.3 MB 最近下载:2025-02-08 人气:337 磁力链接

13 - Understand the TCO.mp4 14.6 MB
25 - Monitoring and management.mp4 14.2 MB
12 - Identify which data to move.mp4 13.8 MB
18 - Your first cloud project.mp4 11.1 MB
14 - Migration planning.mp4 11.0 MB
23 - Cloud operations overview.mp4 10.5 MB
24 - Technology and toolsets.mp4 10.0 MB
16 - Establish cloud security.mp4 9.3 MB
15 - Select a cloud provider.mp4 9.1 MB
11 - Identify which apps to move.mp4 8.9 MB
17 - New skills.mp4 7.7 MB
01 - Change your career with cloud computing.mp4 7.0 MB
19 - Cloud security planning.mp4 6.5 MB
07 - IaaS clouds.mp4 5.9 MB
10 - IaaS case study.mp4 5.9 MB
05 - Overview of cloud computing.mp4 5.8 MB
21 - Select the right technology.mp4 5.4 MB
20 - Security requirements.mp4 5.0 MB
09 - PaaS clouds.mp4 5.0 MB
08 - SaaS clouds.mp4 4.8 MB

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【影视】 Machine Learning, Data Science and Deep Learning with Python

收录时间:2021-06-04 文档个数:220 文档大小:8.5 GB 最近下载:2025-02-08 人气:111 磁力链接

2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Science, Deep Learning, & Machine Learning with Python

收录时间:2018-05-25 文档个数:181 文档大小:3.3 GB 最近下载:2025-02-08 人气:301 磁力链接

01 Getting Started/001 Introduction-subtitle-en.srt 5.0 kB
01 Getting Started/001 Introduction.mp4 29.1 MB
01 Getting Started/002 [Activity] Getting What You Need-subtitle-en.srt 4.9 kB
01 Getting Started/002 [Activity] Getting What You Need.mp4 10.0 MB
01 Getting Started/003 [Activity] Installing Enthought Canopy-subtitle-en.srt 9.7 kB
01 Getting Started/003 [Activity] Installing Enthought Canopy.mp4 42.5 MB
01 Getting Started/004 Python Basics_ Part 1-subtitle-en.srt 34.5 kB
01 Getting Started/004 Python Basics_ Part 1.mp4 46.1 MB
01 Getting Started/005 [Activity] Python Basics_ Part 2-subtitle-en.srt 20.3 kB
01 Getting Started/005 [Activity] Python Basics_ Part 2.mp4 29.8 MB
01 Getting Started/006 Running Python Scripts-subtitle-en.srt 8.8 kB
01 Getting Started/006 Running Python Scripts.mp4 22.6 MB
01 Getting Started/007 Introducing the Pandas Library-subtitle-en.srt 18.4 kB
01 Getting Started/007 Introducing the Pandas Library.mp4 45.4 MB
01 Getting Started/external_links.txt 142 Bytes
02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data-subtitle-en.srt 15.8 kB
02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data.mp4 35.8 MB
02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode-subtitle-en.srt 12.6 kB
02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode.mp4 29.5 MB
02 Statistics and Probability Refresher_ and Python Practise/010 [Activity] Using mean_ median_ and mode in Python-subtitle-en.srt 17.8 kB

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【影视】 The.Jim.Jefferies.Show.S02E08.Learning.About.the.Royal.Family.720p.AMZN.WEB-DL.DDP2.0.H.264-NTb[N1C]

收录时间:2018-05-18 文档个数:2 文档大小:466.0 MB 最近下载:2025-02-08 人气:104 磁力链接

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python

收录时间:2021-03-29 文档个数:114 文档大小:1.2 GB 最近下载:2025-02-07 人气:768 磁力链接

8. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
9. Extra Help With Python Coding for Beginners/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
1. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
8. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
10. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
11. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
10. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
1. Start Here/2. How to Succeed in this Course.mp4 29.3 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
2/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
9. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
7. Background Review/1. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
2/9. Moore's Law Derivation.mp4 21.2 MB
2/5. Determine how good the model is - r-squared.mp4 20.7 MB
2/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB

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