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| Archived
files |
|
01 - Course Overview\01 - Course Overview.mp4
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02 - Classifying Images – O |
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03 - Building a Convolutional Neural Network to Classify Images\09 - Module Introduction.mp4
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03 - Building a Convolutional Neural Network to Classify Images\10 - Basics of Computer Vision.mp4
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03 - Building a Convolutional Neural Network to Classify Images\11 - Introduction to Convolutional Neural Networks.mp4
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03 - Building a Convolutional Neural Network to Classify Images\12 - Convolutions.mp4
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03 - Building a Convolutional Neural Network to Classify Images\13 - Activation and Pooling.mp4
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03 - Building a Convolutional Neural Network to Classify Images\14 - Classification.mp4
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03 - Building a Convolutional Neural Network to Classify Images\15 - Demo- Introduction & Dataset Overview.mp4
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03 - Building a Convolutional Neural Network to Classify Images\16 - Demo- Creating the Model.mp4
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03 - Building a Convolutional Neural Network to Classify Images\17 - Demo- Test Set Predictions.mp4
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03 - Building a Convolutional Neural Network to Classify Images\18 - Summary and What’s |
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04 - Improving Training and Performance using Transfer Learning\19 - Module Introduction.mp4
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04 - Improving Training and Performance using Transfer Learning\20 - Better Performance - When and How-.mp4
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04 - Improving Training and Performance using Transfer Learning\21 - Transfer Learning - Intro and Design.mp4
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04 - Improving Training and Performance using Transfer Learning\22 - Transfer Learning Use Case Scenarios.mp4
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04 - Improving Training and Performance using Transfer Learning\23 - Demo- Implementation of Transfer Learning.mp4
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04 - Improving Training and Performance using Transfer Learning\24 - Summary and What’s |
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05 - Enhancing Performance and Spotting Pitfalls\25 - Module Introduction.mp4
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05 - Enhancing Performance and Spotting Pitfalls\26 - Gradient Descent.mp4
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05 - Enhancing Performance and Spotting Pitfalls\27 - Enhancing Performance - Image Augmentation.mp4
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05 - Enhancing Performance and Spotting Pitfalls\28 - Enhancing Performance - Hyperparameter Tuning.mp4
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05 - Enhancing Performance and Spotting Pitfalls\29 - Overfitting and Underfitting.mp4
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05 - Enhancing Performance and Spotting Pitfalls\30 - Things to Consider.mp4
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05 - Enhancing Performance and Spotting Pitfalls\31 - Demo- Implementing Performance Enhancing Techniques on Transfer Learning Model.mp4
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05 - Enhancing Performance and Spotting Pitfalls\32 - Summary.mp4
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building-image-classification-solutions-keras-transfer-learning.zip |
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01 - Course Overview |
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03 - Building a Convolutional Neural Network to Classify Images |
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