1 - Introduction Outline.mp4 (29.12 MB)
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2 - How to Succeed in This Course.mp4 (16.21 MB)
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3 - Where to Get the Code.mp4 (21.99 MB)
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10 - Suggestion Box.mp4 (28.51 MB)
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4 - Classification Section Outline.mp4 (14.59 MB)
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5 - Concepts Pretrained Image Classifier.mp4 (53.56 MB)
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6 - Pretrained Image Classifier in Python.mp4 (76.46 MB)
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7 - Transfer Learning and FineTuning.mp4 (37.14 MB)
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8 - FineTuning an Image Classifier in Python.mp4 (158 MB)
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9 - Classification Exercise.mp4 (5.32 MB)
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11 - Object Detection Outline.mp4 (44.96 MB)
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12 - Concepts Object Detection.mp4 (27.94 MB)
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13 - Decoding the Output IoU NonMax Suppression Confidence Score.mp4 (53.12 MB)
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14 - Pretrained Object Detection in Python.mp4 (96.59 MB)
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15 - Focal Loss Smooth L1 Loss.mp4 (31.99 MB)
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16 - Object Detection Dataset Formats COCO Pascal VOC.mp4 (15.64 MB)
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17 - LabelImg Setup.mp4 (10.88 MB)
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18 - LabelImg Demo.mp4 (204.94 MB)
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19 - Data Augmentation.mp4 (24.55 MB)
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20 - KerasCV Object Detection Dataset Format.mp4 (21.98 MB)
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21 - FineTuning Object Detection in Python BuiltIn Dataset.mp4 (190.09 MB)
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22 - FineTuning Object Detection in Python Custom Dataset.mp4 (156.47 MB)
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23 - Object Detection Exercise.mp4 (6.97 MB)
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24 - Stable Diffusion Outline.mp4 (13.62 MB)
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25 - Generate Images with Stable Diffusion in Python.mp4 (306.12 MB)
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26 - How Do Diffusion Models Work Optional.mp4 (59.02 MB)
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27 - Diffusion Model Architecture Optional.mp4 (28.45 MB)
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28 - How Diffusion Models Condition on Prompts Optional.mp4 (17.47 MB)
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29 - A Look at the Diffusion Model Source Code Optional.mp4 (262.84 MB)
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