- 【安装包】 EZ Machine Learning 1.0.1
- 收录时间:2024-09-28 文档个数:4 文档大小:721.1 MB 最近下载:2025-02-11 人气:73 磁力链接
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How to Install.txt 386 Bytes
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AppDoze.com.txt 40 Bytes
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- 收录时间:2024-08-18 文档个数:1 文档大小:491.4 MB 最近下载:2025-02-11 人气:345 磁力链接
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- 【影视】 [FreeCoursesOnline.Me] ZeroToMastery - PyTorch for Deep Learning
- 收录时间:2024-02-18 文档个数:6 文档大小:137.5 MB 最近下载:2025-02-11 人气:61 磁力链接
lesson1.mp4 137.5 MB
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- 【安装包】 Learn English with Strokes Easy Learning 6.0 Incl. Key
- 收录时间:2017-08-07 文档个数:3 文档大小:87.8 MB 最近下载:2025-02-11 人气:12 磁力链接
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- 【影视】 Learning a lesson in spanish class
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- 【音乐】 Learning Spanish Like Crazy
- 收录时间:2017-04-20 文档个数:143 文档大小:978.5 MB 最近下载:2025-02-11 人气:122 磁力链接
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Learning Spanish Like Crazy - Level 1/Part 1/Lesson 12.mp3 17.5 MB
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- 【其他】 Brain Sync - Deep Learning
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- 【影视】 Learning To Be Flexible-Exxxtra Small-1080p.mp4
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- 【安装包】 Learn English with Strokes Easy Learning 6.0 Incl. Key
- 收录时间:2017-09-12 文档个数:3 文档大小:87.8 MB 最近下载:2025-02-10 人气:3 磁力链接
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- 收录时间:2022-04-16 文档个数:1 文档大小:552.1 MB 最近下载:2025-02-10 人气:261 磁力链接
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- 【影视】 [FreeTutorials.Us] cluster-analysis-unsupervised-machine-learning-python
- 收录时间:2017-08-18 文档个数:30 文档大小:325.9 MB 最近下载:2025-02-10 人气:963 磁力链接
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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- 【安装包】 Learn English with Strokes Easy Learning 6.0 Incl. Key
- 收录时间:2017-09-16 文档个数:3 文档大小:87.8 MB 最近下载:2025-02-09 人气:10 磁力链接
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- 【影视】 Unsupervised Machine Learning Hidden Markov Models in Python
- 收录时间:2018-10-09 文档个数:51 文档大小:744.9 MB 最近下载:2025-02-09 人气:269 磁力链接
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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
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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
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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
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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
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