FreeCourseSite com Udemy TensorFlow Developer Certificate in 2023 Zero to Mastery

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/013 Visualizing what happens when images pass through our data augmentation layer_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/013 Visualizing what happens when images pass through our data augmentation layer.mp4

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/008 Getting a feature vector from our trained model_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/011 Building a data augmentation layer to use inside our model_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/006 Creating our first model with the TensorFlow Keras Functional API_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/018 Loading and comparing saved weights to our existing trained Model 2_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/005 Comparing the TensorFlow Keras Sequential API versus the Functional API_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/021 Comparing our model's results before and after fine-tuning_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/007 Compiling and fitting our first Functional API model_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/009 Drilling into the concept of a feature vector (a learned representation)_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/014 Building Model 1 (with a data augmentation layer and 1% of training data)_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/020 Fitting and evaluating Model 3 (our first fine-tuned model)_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/023 Preparing our final modelling experiment (Model 4)_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/002 Importing a script full of helper functions (and saving lots of space)_en.srt

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