LinkedIn - Computer Vision for Data Scientists

Files Included :

01 - Computer vision introduction.mp4 (3.19 MB)
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02 - What you should know.mp4 (3.27 MB)
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01 - What is computer vision.mp4 (4.82 MB)
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02 - A history of computer vision.mp4 (12.35 MB)
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03 - Limitations of traditional CV techniques.mp4 (6.25 MB)
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04 - ImageNet.mp4 (9.02 MB)
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05 - The deep learning revolution.mp4 (7.3 MB)
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01 - Overview of CNNs.mp4 (12.87 MB)
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02 - Why CNNs.mp4 (4.9 MB)
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03 - Convolutional layers.mp4 (14.06 MB)
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04 - Types of convolutions.mp4 (30.67 MB)
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05 - Pooling layers.mp4 (7.98 MB)
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06 - Activation functions.mp4 (8.93 MB)
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07 - Fully connected layers.mp4 (7.62 MB)
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01 - Supervised learning and loss functions.mp4 (6.89 MB)
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02 - Backpropagation in CNNs.mp4 (9.25 MB)
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03 - Optimization techniques.mp4 (10.71 MB)
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04 - Regularization and data augmentation.mp4 (10.09 MB)
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01 - LeNet.mp4 (14.14 MB)
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02 - AlexNet.mp4 (21.65 MB)
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03 - VGG.mp4 (7.24 MB)
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04 - ResNet.mp4 (9.15 MB)
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05 - MobileNetV1.mp4 (7.13 MB)
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06 - MobileNetV2.mp4 (13.58 MB)
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07 - MobileNetV3.mp4 (17.07 MB)
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08 - EfficientNet.mp4 (13.63 MB)
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01 - Introduction to transfer learning.mp4 (4.79 MB)
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02 - Types of transfer learning.mp4 (7.04 MB)
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03 - Steps in feature extracting and fine-tuning.mp4 (5.7 MB)
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04 - Best practices for transfer learning.mp4 (8.04 MB)
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01 - Setting up the environment.mp4 (9.28 MB)
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02 - Dataset and DataLoader.mp4 (10.79 MB)
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03 - Training setup.mp4 (8.44 MB)
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04 - The training loop.mp4 (8.29 MB)
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05 - Testing and evaluation.mp4 (8.38 MB)
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06 - Inference.mp4 (7.83 MB)
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01 - Introduction to SuperGradients.mp4 (8.62 MB)
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02 - The trainer.mp4 (13.08 MB)
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03 - Required training params.mp4 (11.83 MB)
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04 - Optional training params.mp4 (19.35 MB)
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05 - Training the model.mp4 (11.01 MB)
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06 - Predicting with the model.mp4 (13 MB)
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07 - How to solve almost any image classification problem with SG.mp4 (17.46 MB)
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01 - Exponential moving average.mp4 (5.33 MB)
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02 - Weight averaging.mp4 (6.12 MB)
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03 - Batch accumulation.mp4 (7.15 MB)
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04 - Precise BatchNorm.mp4 (5.03 MB)
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05 - Zero weight decay on BatchNorm and bias.mp4 (4.25 MB)
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06 - Training tricks in SuperGradients.mp4 (19.9 MB)
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01 - Next steps.mp4 (3.63 MB)
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