FreeCourseSite com Udemy TensorFlow Developer Certificate in 2023 Zero to Mastery

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/005 Creating a headless EfficientNetB0 model with data augmentation built in_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/005 Creating a headless EfficientNetB0 model with data augmentation built in.mp4

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/004 Creating a data augmentation layer to use with our model_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/004 Creating a data augmentation layer to use with our model.mp4

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/002 Getting helper functions ready and downloading data to model_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/007 Unfreezing some layers in our base model to prepare for fine-tuning_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/014 Creating a confusion matrix for our model's 101 different classes_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/016 Plotting our model's F1-scores for each separate class_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/020 Writing code to uncover our model's most wrong predictions_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/009 Saving and loading our trained model_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/010 Downloading a pretrained model to make and evaluate predictions with_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/017 Creating a function to load and prepare images for making predictions_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/018 Making predictions on our test images and evaluating them_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/021 Plotting and visualising the samples our model got most wrong_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/002 Getting helper functions ready and downloading data to model.mp4

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