FreeCourseSite com Udemy TensorFlow Developer Certificate in 2023 Zero to Mastery

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/024 Fine-tuning Model 4 on 100% of the training data and evaluating its results_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/024 Fine-tuning Model 4 on 100% of the training data and evaluating its results.mp4

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/002 Importing a script full of helper functions (and saving lots of space)_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/019 Preparing Model 3 (our first fine-tuned model)_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/015 Building Model 2 (with a data augmentation layer and 10% of training data)_en.srt

/08 - Transfer Learning with TensorFlow Part 3 Scaling Up/008 Fine-tuning our feature extraction model and evaluating its performance_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/025 Comparing our modelling experiment results in TensorBoard_en.srt

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/002 Importing a script full of helper functions (and saving lots of space).mp4

/07 - Transfer Learning in TensorFlow Part 2 Fine tuning/016 Creating a ModelCheckpoint to save our model's weights during training_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/007 Compiling and fitting our first Functional API model_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/014 Building Model 1 (with a data augmentation layer and 1% of training data).mp4

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