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1_Introduction/What_is_Django.mp4 2.97 MB
1_Introduction/What_you_should_know_before_watching_this_course.mp4 1.43 MB
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02_Introducing_Maya/02_01-v2b-Maya2013Intro.mp4 38.05 MB
08_Basic_Maya_Rendering/08_02-v2b-Maya2013Intro.mp4 37.53 MB
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02. Network Tuning - Part 1/11. Demo XAML Code.wmv 25.89 MB
02. Network Tuning - Part 1/12. Demo Core Steps-Shuffle, Segregate, Normalize and Prune.wmv 22.24 MB
02. Network Tuning - Part 1/13. Demo Core Steps-Train.wmv 18.09 MB
02. Network Tuning - Part 1/14. Demo Observations.wmv 17.37 MB
05. Feed Forward Network - Part 1/09. Demo Adaline Network.wmv 16.18 MB
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0101 Why do we need machine learning_.srt 18.34 KB
0102 What are neural networks_.mp4 9.76 MB
0102 What are neural networks_.srt 11.51 KB
0103 Some simple models of neurons.mp4 9.26 MB
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Module 1/04 - CSS Structure and Syntax Part 1.mp4 613.1 MB
Module 1/05 - CSS Structure and Syntax Part 2.mp4 463.33 MB
Module 1/06 - CSS Structure and Syntax Part 3.mp4 457.5 MB
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Hot：930 Size：218.43 MB Created：2017-08-26 09:17:05 File Count：44
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0. Introduction/02. What you should know.mp4 2.32 MB
0. Introduction/01. Welcome.en.srt 4.04 KB
0. Introduction/02. What you should know.en.srt 3.09 KB
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01. Introduction/01_05-How To Access Your Working Files.mp4 26.38 MB
01. Introduction/01_04-Docker Architecture.mp4 8.26 MB
01. Introduction/01_03-Containers.mp4 7.59 MB
01. Introduction/01_02-About The Author.mp4 6.62 MB
01. Introduction/01_01-Introduction.mp4 3.88 MB
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045 Score setup - Page basics.mp4 31.74 MB
034 DC and DS repeats.mp4 26.2 MB
039 Slash notation.mp4 28.2 MB
033 Repeat barlines.mp4 22.92 MB
031 Rehearsal marks, numbers, and barlines.mp4 35.21 MB
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3. 2. Introducing Kali/10. Explore the quick access list.mp4 23.19 MB
7. 6. Exploiting Targets/37. Exploit Linux with Metasploit.mp4 22.26 MB
4. 3. Information Gathering (Understanding the Target)/17. Introducing Maltego.mp4 22.2 MB
2. 1. Setting Up the Virtual Lab/05. Installing virtual machines.mp4 21.81 MB
2. 1. Setting Up the Virtual Lab/06. Installing appliances.mp4 21.25 MB
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Hot：503 Size：8.44 GB Created：2019-03-02 12:13:57 File Count：113
01 Introduction & Inductive learning/10. A Framework for Studying Inductive Learning.mp4 201.81 MB
05 Bayesian Learning/2. Bayes' Theorem and MAP Hypotheses.mp4 193.26 MB
05 Bayesian Learning/7. The Naive Bayes Classifier.mp4 187.05 MB
03 Rule Induction/6. Learning First Order Rules Using FOIL.mp4 186.93 MB
01 Introduction & Inductive learning/9. The Essence of Inductive Learning.mp4 182.51 MB
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01 Head First into Deep Learning/004 Deep Learning Hello World Classifying the MNIST Data.mp4 22.72 MB
01 Head First into Deep Learning/001 The Course Overview.mp4 13.66 MB
01 Head First into Deep Learning/003 Open Source Libraries for Deep Learning.mp4 18.26 MB
01 Head First into Deep Learning/002 What Is Deep Learning.mp4 7.23 MB
04 Solving Cats Versus Dogs/001 Large Scale Datasets, ImageNet, and Very Deep Neural Networks.mp4 13.59 MB
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02 Understanding Machine Learning With R/20160217195709_2.mp4 3.78 MB
02 Understanding Machine Learning With R/20160217195709_3.mp4 4.5 MB
02 Understanding Machine Learning With R/20160217195709_4.mp4 3.37 MB
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2_1._Foundation_Introduction_and_Download/Customizing_Foundation_and_a_word_about_SASS_and_Compass.mp4 8.07 MB
2_1._Foundation_Introduction_and_Download/Downloading_and_unzipping_Foundation.mp4 8.05 MB
2_1._Foundation_Introduction_and_Download/Examining_Foundation_files.mp4 27.44 MB
Hot：49 Size：215.18 MB Created：2017-09-07 12:37:51 File Count：31
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1_Introduction/Welcome.mp4 3.35 MB
1_Introduction/What_you_should_know_before_watching_this_course.mp4 1.82 MB
2_1._Introducing_Mathematica_9/Browsing_the_Demonstrations_library.mp4 4.8 MB
2_1._Introducing_Mathematica_9/Getting_help_in_Mathematica.mp4 8.59 MB