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14 Neural Networks Deep Learning Transfer Learning and TensorFlow 27 The Softmax Function activation function we use in our model html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.1 The Softmax Function (activation function we use in our model).html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35.1 TensorFlow documentation for the unbatch() function.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18.2 Documentation for loading images in TensorFlow.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41.1 Dog Vision Prediction Probabilities Array.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43.1 End-to-end Dog Vision Notebook (with annotations).html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.2 PyTorch Hub (PyTorch version of TensorFlow Hub).html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26.1 Keras in TensorFlow Overview Documentation.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28.1 [Article] How to choose loss & activation functions when building a deep learning model.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12.2 Introduction to Google Colab example notebook.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.3 Introduction to Google Colab example notebook.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43.2 End-to-end Dog Vision Notebook (from the videos).html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/44. Finishing Dog Vision Where to next.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6.1 Kaggle Dog Breed Identification Competition Data.html

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17. Creating Our Own Validation Set.srt

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/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30.1 TensorBoard Callback Documentation.html

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