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| "V0VCVlRUCktpbmQ6IGNhcHRpb25zCkxhbmd1YWdlOiBlbgoKMDA6MDA6MDAuNzE5IC0tPiAwMDowMDowMi45OTAgYWxpZ246c3R(...TRUNCATED)
| {"captions":[{"end":"00:00:03.000","start":"00:00:02.990","text":"in this video I would like to star(...TRUNCATED)
|
videos/9CGGh6ivg68/9CGGh6ivg68
| "/home/marethu/.cache/huggingface/hub/datasets--aegean-ai--ai-lectures-spring-24/snapshots/2ab5b8f45(...TRUNCATED)
| [{"end":"00:00:04.870","start":"00:00:02.990","text":"in this video I would like to start the discus(...TRUNCATED)
|
1 introduction
|
9CGGh6ivg68
| "in this video I would like to start the discussion about convolutional new networks which is anothe(...TRUNCATED)
| "in this video. I would like to start the discussion about convolutional new networks, which is anot(...TRUNCATED)
| 117
| [{"end":"00:00:04.870","start":"00:00:02.990","text":"in this video. I would like to start the discu(...TRUNCATED)
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| {"captions":[{"end":"00:00:02.000","start":"00:00:01.990","text":"to start understanding what is rea(...TRUNCATED)
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videos/WXoOohWU28Y/WXoOohWU28Y
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| [{"end":"00:00:04.390","start":"00:00:01.990","text":"to start understanding what is really the uh f(...TRUNCATED)
|
2 convolution
|
WXoOohWU28Y
| "to start understanding what is really the uh fundamental operation happen inside those convolutiona(...TRUNCATED)
| "to start understanding what is really the uh fundamental operation happen inside those convolutiona(...TRUNCATED)
| 328
| [{"end":"00:00:04.390","start":"00:00:01.990","text":"to start understanding what is really the uh f(...TRUNCATED)
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| {"captions":[{"end":"00:00:03.280","start":"00:00:03.270","text":"so this is basically what is happe(...TRUNCATED)
|
videos/TV-DjM8242s/TV-DjM8242s
| "/home/marethu/.cache/huggingface/hub/datasets--aegean-ai--ai-lectures-spring-24/snapshots/2ab5b8f45(...TRUNCATED)
| [{"end":"00:00:06.789","start":"00:00:03.270","text":"so this is basically what is happening um in a(...TRUNCATED)
|
3 cnn architectures
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TV-DjM8242s
| "so this is basically what is happening um in a uh an example over here where we have an input image(...TRUNCATED)
| "so this is basically what is happening, um, in a uh an example over here, where we have an input im(...TRUNCATED)
| 851
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| {"captions":[{"end":"00:00:03.960","start":"00:00:03.950","text":"in this Example The Notebook uh is(...TRUNCATED)
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videos/rCVlIVKqqGE/rCVlIVKqqGE
| "/home/marethu/.cache/huggingface/hub/datasets--aegean-ai--ai-lectures-spring-24/snapshots/2ab5b8f45(...TRUNCATED)
| [{"end":"00:00:07.550","start":"00:00:03.950","text":"in this Example The Notebook uh is quite uh in(...TRUNCATED)
|
4 image classification
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rCVlIVKqqGE
| "in this Example The Notebook uh is quite uh instructive because it refers to a small data set um an(...TRUNCATED)
| "in this Example, The Notebook uh is quite uh instructive because it refers to a small data set, um,(...TRUNCATED)
| 311
| [{"end":"00:00:07.550","start":"00:00:03.950","text":"in this Example, The Notebook uh is quite uh i(...TRUNCATED)
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| {"captions":[{"end":"00:00:02.320","start":"00:00:02.310","text":"in an earlier video we saw the str(...TRUNCATED)
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videos/lb_5AdUpfuA/lb_5AdUpfuA
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| [{"end":"00:00:05.749","start":"00:00:02.310","text":"in an earlier video we saw the structure of th(...TRUNCATED)
|
5 what cnns learn
|
lb_5AdUpfuA
| "in an earlier video we saw the structure of the convolutional neuron and how many of these neurons (...TRUNCATED)
| "in an earlier video we saw the structure of the convolutional neuron and how many of these neurons,(...TRUNCATED)
| 168
| [{"end":"00:00:05.749","start":"00:00:02.310","text":"in an earlier video we saw the structure of th(...TRUNCATED)
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| {"captions":[{"end":"00:00:02.919","start":"00:00:02.909","text":"in an earli video we have seen the(...TRUNCATED)
|
videos/FCQ-rih6cHY/FCQ-rih6cHY
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| [{"end":"00:00:06.150","start":"00:00:02.909","text":"in an earli video we have seen the uh convolut(...TRUNCATED)
|
6 residual networks
|
FCQ-rih6cHY
| "in an earli video we have seen the uh convolutional networks and the basic operation uh in this uh (...TRUNCATED)
| "in an earli video. we have seen the uh convolutional networks and the basic operation uh in this uh(...TRUNCATED)
| 402
| [{"end":"00:00:06.150","start":"00:00:02.909","text":"in an earli video. we have seen the uh convolu(...TRUNCATED)
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| {"captions":[{"end":"00:00:01.919","start":"00:00:01.909","text":"we have seen"},{"end":"00:00:05.15(...TRUNCATED)
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videos/eQ6UE968Xe4/eQ6UE968Xe4
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| [{"end":"00:00:05.150","start":"00:00:01.909","text":"we have seen earlier the regression problem uh(...TRUNCATED)
|
1 the learning problem classification
|
eQ6UE968Xe4
| "we have seen earlier the regression problem uh where we have effectively to model a conditional pro(...TRUNCATED)
| "we have seen earlier the regression problem uh, where we have effectively to model a conditional pr(...TRUNCATED)
| 849
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| {"captions":[{"end":"00:00:05.600","start":"00:00:05.590","text":"we are in the trajectory where we (...TRUNCATED)
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videos/eFgkZKhNUdM/eFgkZKhNUdM
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2 logistic regression
|
eFgkZKhNUdM
| "we are in the trajectory where we are going to obtain a Blog diagram of our first classifier binary(...TRUNCATED)
| "we are in the trajectory where we are going to obtain a Blog diagram of our first classifier, binar(...TRUNCATED)
| 379
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