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Udemy - Unsupervised Deep Learning in Python - TUTSEM
磁力链接/BT种子名称
Udemy - Unsupervised Deep Learning in Python - TUTSEM
磁力链接/BT种子简介
种子哈希:
d0b46b392fd02336067ab09446ddfc0c97f3c12d
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556.36M
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收录时间:
2018-08-02
最近下载:
2025-06-25
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文件列表
Torrent downloaded from bt-scene.cc.txt
275 Bytes
Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt
59 Bytes
Tutsem.com.lnk
2.8 kB
TUTSEM.COM.txt
317 Bytes
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
04 Autoencoders/021 Deep Autoencoder Visualization Description.mp4
2.6 MB
04 Autoencoders/022 Deep Autoencoder Visualization in Code.mp4
29.2 MB
05 Restricted Boltzmann Machines/023 Restricted Boltzmann Machine Theory.mp4
15.1 MB
05 Restricted Boltzmann Machines/024 Deriving Conditional Probabilities from Joint Probability.mp4
9.8 MB
05 Restricted Boltzmann Machines/025 Contrastive Divergence for RBM Training.mp4
5.1 MB
05 Restricted Boltzmann Machines/026 RBM in Code Theano with Greedy Layer-Wise Training on MNIST.mp4
50.1 MB
05 Restricted Boltzmann Machines/027 RBM in Code Tensorflow.mp4
14.4 MB
06 The Vanishing Gradient Problem/028 The Vanishing Gradient Problem Description.mp4
5.5 MB
06 The Vanishing Gradient Problem/029 The Vanishing Gradient Problem Demo in Code.mp4
32.8 MB
07 Extras Visualizing what features a neural network has learned/030 Exercises on feature visualization and interpretation.mp4
3.9 MB
07 Extras Visualizing what features a neural network has learned/031 BONUS Where to get Udemy coupons and FREE deep learning material.mp4
2.3 MB
07 Extras Visualizing what features a neural network has learned/032 BONUS How to derive the free energy formula.mp4
11.4 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/033 BONUS Application of PCA and SVD to NLP Natural Language Processing.mp4
4.1 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/034 BONUS Latent Semantic Analysis in Code.mp4
26.9 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/035 BONUS Application of t-SNE K-Means Finding Clusters of Related Words.mp4
27.2 MB
09 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
46.0 MB
09 Appendix/037 How to Code by Yourself part 1.mp4
25.7 MB
09 Appendix/038 How to Code by Yourself part 2.mp4
15.5 MB
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