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7.3 GB |
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/tld_Data/StreamingAssets/Audio/GeneratedSoundBanks/Windows/Convolution.txt |
27.7 KB |
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267.8 KB |
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/tld_Data/StreamingAssets/Audio/GeneratedSoundBanks/Windows/Convolution.bnk |
31.3 MB |
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0.2 KB |
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32.0 KB |
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1.6 GB |
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/CINEMA 4D R18/resource/modules/cineman/shaders/win/c4dsparseconvolution.64.dll |
111.1 KB |
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98.3 KB |
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/CINEMA 4D R18/resource/modules/cineman/shaders/mac/c4dsparseconvolution._so |
29.1 KB |
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/CINEMA 4D R18/resource/modules/cineman/shaders/unix/c4dsparseconvolution._so |
14.3 KB |
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3.1 GB |
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52.0 MB |
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15.1 MB |
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[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science |
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5.9 GB |
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/32 Convolutional Neural Networks/230 Plan of attack-subtitle-en.srt |
5.6 KB |
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6.2 MB |
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/32 Convolutional Neural Networks/231 What are convolutional neural networks_-subtitle-en.srt |
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/32 Convolutional Neural Networks/231 What are convolutional neural networks_.mp4 |
30.9 MB |
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/32 Convolutional Neural Networks/232 Step 1 - Convolution Operation-subtitle-en.srt |
24.7 KB |
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31.9 MB |
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/Unity 5 for Android Essentials_CodeFiles/Final Code/9191OT_03_Codes/DiffuseConvolution.shader |
2.0 KB |
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2.0 KB |
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3.8 MB |
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3.8 MB |
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702.0 MB |
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5.9 MB |
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4.2 MB |
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4.2 GB |
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20.5 MB |
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2.6 GB |
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/tld_data/StreamingAssets/Audio/GeneratedSoundBanks/Windows/Convolution.txt |
22.7 KB |
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28.9 MB |
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81.6 MB |
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19.5 KB |
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[Coursera] Neural Networks for Machine Learning by Geoffrey Hinton |
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980.0 MB |
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/05_Lecture5/03_Convolutional_nets_for_digit_recognition_16_min.mp4 |
19.4 MB |
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/05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.pdf |
125.4 KB |
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3.4 GB |
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/tld_Data/StreamingAssets/Audio/GeneratedSoundBanks/Windows/Convolution.txt |
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236.5 KB |
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31.4 MB |
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Underground People Christmas 2016 (50 Tracks For Your Winter Party) |
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891.7 MB |
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19.1 MB |
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120.0 MB |
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2.0 GB |
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/tld_Data/StreamingAssets/Audio/GeneratedSoundBanks/Windows/Convolution.bnk |
43.5 MB |
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16.0 GB |
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11.9 MB |
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1.8 GB |
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1.9 MB |
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2.1 MB |
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2.1 MB |
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2.4 MB |
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614.2 MB |
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12.9 MB |
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SpringerBriefs in Applied Sciences and Technology [Updated at 2016.01.24] |
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908.8 MB |
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/Trimming, Miniaturization and Ideality via Convolution Technique of TRIZ (2013).pdf |
3.1 MB |
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