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1 - Course Overview English.srt
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SRT
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4.9 KB
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1 - Course Overview.mp4
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MP4
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31.5 MB
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1 - Quiz on Numpy.html
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HTML
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102.4 B
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1 - Test Numpy skill.html
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HTML
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0 B
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10 - Image SearchBasic & Cluster English.srt
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7.8 KB
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10 - Image SearchBasic & Cluster.mp4
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MP4
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53.9 MB
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11 - Faiss Overview English.srt
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1.6 KB
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11 - Faiss Overview.mp4
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MP4
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10.2 MB
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12 - Basic Image Search Code English.srt
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SRT
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6.5 KB
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12 - Basic Image Search Code.mp4
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MP4
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38.6 MB
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13 - Basic Image Search With pertained Resnet cifar10 dataset Code English.srt
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SRT
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4.7 KB
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13 - Basic Image Search With pertained Resnet cifar10 dataset Code.mp4
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MP4
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32.6 MB
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14 - Cluster Search Code English.srt
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SRT
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3.5 KB
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14 - Cluster Search Code.mp4
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MP4
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23.7 MB
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15 - Why Data Augmentation & History English.srt
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5.2 KB
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15 - Why Data Augmentation & History.mp4
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MP4
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26.7 MB
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16 - CutMix Paper Overview English.srt
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3.8 KB
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16 - CutMix Paper Overview.mp4
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MP4
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28.3 MB
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17 - Results of CutMix English.srt
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2.8 KB
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17 - Results of CutMix.mp4
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MP4
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15.1 MB
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18 - CutMix Algorithm English.srt
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2.7 KB
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18 - CutMix Algorithm.mp4
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11.8 MB
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19 - CutMix Code English.srt
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8.8 KB
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19 - CutMix Code.mp4
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54.6 MB
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2 - Applications English.srt
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4.1 KB
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2 - Applications.mp4
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MP4
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38.3 MB
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2 - Test what you have learned.html
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HTML
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0 B
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20 - RandAugment English.srt
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4.8 KB
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20 - RandAugment.mp4
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MP4
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28.8 MB
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21 - RandAugment Code English.srt
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3.4 KB
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21 - RandAugment Code.mp4
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MP4
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21.9 MB
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22 - SoftMax Think out of the box English.srt
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5.6 KB
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22 - SoftMax Think out of the box.mp4
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27.7 MB
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23 - Temperature Scaling & soft softmax code English.srt
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4.3 KB
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23 - Temperature Scaling & soft softmax code.mp4
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31.3 MB
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24 - Summery English.srt
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614.4 B
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24 - Summery.mp4
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9.3 MB
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25 - Pretext Task English.srt
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2.9 KB
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25 - Pretext Task.mp4
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MP4
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6.9 MB
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26 - Overview of Unsupervised Visual Representation Learning by Context Prediction English.srt
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2.4 KB
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26 - Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4
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MP4
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19.1 MB
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27 - Results of UVR by Context Prediction English.srt
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5 KB
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27 - Results of UVR by Context Prediction.mp4
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22 MB
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28 - Overview of Jigsaw English.srt
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2 KB
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28 - Overview of Jigsaw.mp4
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15.1 MB
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29 - Network and Training process English.srt
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5.1 KB
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29 - Network and Training process.mp4
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22.6 MB
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3 - Google Colab Setup English.srt
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3.7 KB
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3 - Google Colab Setup.mp4
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18.9 MB
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30 - Results of JigSaw English.srt
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2.2 KB
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30 - Results of JigSaw.mp4
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15.6 MB
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31 - NonParametric Instancelevel Discrimination & Metric learning approach English.srt
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6.6 KB
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31 - NonParametric Instancelevel Discrimination & Metric learning approach.mp4
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39.3 MB
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32 - NPILD Training Process English.srt
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3.6 KB
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32 - NPILD Training Process.mp4
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11.3 MB
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33 - Non Parametric Softmax English.srt
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3.4 KB
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33 - Non Parametric Softmax.mp4
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9.3 MB
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34 - Noise contrastive estimation NCE Part 1 English.srt
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5 KB
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34 - Noise contrastive estimation NCE Part 1.mp4
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15.1 MB
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35 - FULL NCE Loss English.srt
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1.6 KB
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35 - FULL NCE Loss.mp4
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5.1 MB
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36 - NPILD Put it all together English.srt
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3.6 KB
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36 - NPILD Put it all together.mp4
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10.7 MB
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37 - NPILD Result English.srt
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2.3 KB
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37 - NPILD Result.mp4
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MP4
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14.3 MB
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38 - Non Parametric Softmax CrossEntropy Code English.srt
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SRT
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5.9 KB
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38 - Non Parametric Softmax CrossEntropy Code.mp4
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MP4
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28.6 MB
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39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1 English.srt
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SRT
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5.1 KB
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39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1.mp4
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MP4
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27.3 MB
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4 - Course Structure & Important Notes English.srt
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3.9 KB
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4 - Course Structure & Important Notes.mp4
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MP4
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19.7 MB
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40 - PEARL Overview Part 2 English.srt
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3.9 KB
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40 - PEARL Overview Part 2.mp4
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MP4
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11.1 MB
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41 - PEARL Loss English.srt
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6.8 KB
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41 - PEARL Loss.mp4
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MP4
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20.4 MB
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42 - PEARL Results English.srt
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5.9 KB
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42 - PEARL Results.mp4
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MP4
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30.3 MB
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43 - NCE & Memory Bank Code English.srt
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10.4 KB
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43 - NCE & Memory Bank Code.mp4
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MP4
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53.2 MB
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44 - Network and Training NPILD & Pearl Code English.srt
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5.8 KB
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44 - Network and Training NPILD & Pearl Code.mp4
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MP4
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40.3 MB
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45 - SIMCLR Overview English.srt
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4.1 KB
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45 - SIMCLR Overview.mp4
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MP4
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27.4 MB
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46 - SIMCLR & Multiview Batch English.srt
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4 KB
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46 - SIMCLR & Multiview Batch.mp4
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MP4
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18.1 MB
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47 - SimCLR Algorithm and Loss English.srt
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3.4 KB
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47 - SimCLR Algorithm and Loss.mp4
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MP4
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16.2 MB
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48 - Training Details English.srt
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1.8 KB
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48 - Training Details.mp4
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MP4
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4.2 MB
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49 - Softmax is invariant under translation Important English.srt
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2.3 KB
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49 - Softmax is invariant under translation Important.mp4
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MP4
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11.6 MB
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5 - Data Science in Numpy Part1 Code English.srt
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SRT
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13.1 KB
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5 - Data Science in Numpy Part1 Code.mp4
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MP4
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59.1 MB
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50 - Supervised Contrastive Learning English.srt
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SRT
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6.4 KB
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50 - Supervised Contrastive Learning.mp4
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MP4
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31 MB
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51 - Mocking SimCLRCode English.srt
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SRT
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10.9 KB
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51 - Mocking SimCLRCode.mp4
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MP4
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57.6 MB
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52 - SimClr and Supervised Contrastive Learning Code English.srt
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SRT
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7.4 KB
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52 - SimClr and Supervised Contrastive Learning Code.mp4
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MP4
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44.8 MB
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53 - Vissl & Albumentations English.srt
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SRT
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3.5 KB
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53 - Vissl & Albumentations.mp4
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MP4
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30.1 MB
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54 - Tips From My Expeience English.srt
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SRT
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5.8 KB
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54 - Tips From My Expeience.mp4
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MP4
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14.2 MB
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55 - Few More ideas English.srt
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4.8 KB
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55 - Few More ideas.mp4
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MP4
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13.9 MB
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56 - Introduction to DeepFake & Beyond English.srt
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SRT
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6.1 KB
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56 - Introduction to DeepFake & Beyond.mp4
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MP4
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38.7 MB
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57 - Generative Vs Discriminative AI With VAE Example will be separate course English.srt
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SRT
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7.3 KB
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57 - Generative Vs Discriminative AI With VAE Example will be separate course.mp4
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MP4
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50.6 MB
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6 - Data Science in Pytorch Part1 Code English.srt
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SRT
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7 KB
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6 - Data Science in Pytorch Part1 Code.mp4
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MP4
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31.5 MB
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7 - Data Science in Pytorch Part 2Code English.srt
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8.2 KB
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7 - Data Science in Pytorch Part 2Code.mp4
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MP4
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38.1 MB
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8 - Pytorch AutoGrad English.srt
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7.7 KB
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8 - Pytorch AutoGrad.mp4
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MP4
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51.1 MB
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8 - torch-grad.ipynb
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IPYNB
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8.1 KB
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9 - Custom CNN in Pytorch English.srt
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SRT
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7 KB
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9 - Custom CNN in Pytorch.mp4
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MP4
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36.4 MB
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9 - custom-CNN.ipynb
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IPYNB
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120.6 KB
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Bonus Resources.txt
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TXT
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409.6 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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basic_img_search_with_pretraied_resnet_trained_with_cifar10.ipynb
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IPYNB
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66.2 KB
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basic_search_with_resnet_imagenet.ipynb
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IPYNB
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69.4 KB
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cluster_search_v1.ipynb
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IPYNB
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60.4 KB
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cutmix.ipynb
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IPYNB
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437.5 KB
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faiss.ipynb
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IPYNB
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319 KB
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mock_npild_pearl.ipynb
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IPYNB
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35.8 KB
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mock_selfsupcon_loss.ipynb
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IPYNB
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14.2 KB
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non_parrametric_softmax_crossentropy.ipynb
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IPYNB
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7.3 KB
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not_so_soft.ipynb
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IPYNB
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53.6 KB
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npild_pearl.ipynb
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IPYNB
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808.3 KB
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numpy_v1.ipynb
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IPYNB
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20.4 KB
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randaug.ipynb
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IPYNB
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97.2 KB
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selfsupcon_supcon.ipynb
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IPYNB
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453.4 KB
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torch_intro.ipynb
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IPYNB
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9.2 KB
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torch_training_process.ipynb
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IPYNB
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64 KB
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torch_v2.ipynb
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IPYNB
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12.7 KB
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