Flashcard Set: TensorFlow 2.0


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Browse individual flashcards :
TensorFlow 2.0: create a kernel stack...       TensorFlow 2.0: after the Keras model...       TensorFlow 2.0: tf.keras.Model functi...       TensorFlow 2.0: for small datasets us...       TensorFlow 2.0: keras.Model function ...       TensorFlow 2.0: how to get keras.Mode...       TensorFlow 2.0: build a fully-customi...       TensorFlow 2.0: when subclassing tf.k...       TensorFlow 2.0: create a custom layer...       TensorFlow 2.0: save and load the wei...       TensorFlow 2.0: how to save and load ...       TensorFlow 2.0: _____ is the only sup...       TensorFlow 2.0: the most common type ...       TensorFlow 2.0: the tf.keras.Sequenti...       TensorFlow 2.0: use ____ to scale lar...       TensorFlow 2.0: how to instantiate a ...       TensorFlow 2.0: tf.keras models can r...       TensorFlow 2.0: tf.keras.Model.compil...       TensorFlow 2.0: how to save/restore m...       TensorFlow 2.0: what does model.fit()...       TensorFlow 2.0: if you need a loss fu...       TensorFlow 2.0: you can create custom...       TensorFlow 2.0: when training a model...       TensorFlow 2.0: purpose of class weig...       TensorFlow 2.0: purpose of sample wei...       TensorFlow 2.0: you can create a cust...       TensorFlow 2.0: how to create an inpu...       TensorFlow 2.0: how to create a dense...       TensorFlow 2.0: how to get a summary ...       TensorFlow 2.0: way to concatenate 3 ...       TensorFlow 2.0: how to create a Keras...       TensorFlow 2.0: how to fit Keras mode...       TensorFlow 2.0: create a Keras layer ...       TensorFlow 2.0: how to handle metrics...       TensorFlow 2.0: when overriding Layer...       TensorFlow 2.0: how to create a datas...       TensorFlow 2.0: when using a Dataset ...       TensorFlow 2.0: reset all Keras varia...       TensorFlow 2.0: 2 ways of setting apa...       TensorFlow 2.0: if you want your cust...       TensorFlow 2.0: 3 built-in RNN cells ...       TensorFlow 2.0: older style pre-made ...       TensorFlow 2.0: Estimators - each ___...       TensorFlow 2.0: wrapping a RNN cell i...       TensorFlow 2.0: callback hooks for st...       TensorFlow 2.0: how to see if eager e...       TensorFlow 2.0: how to write a layer ...       TensorFlow 2.0: you can convert exist...       TensorFlow 2.0: _____ is a decorator ...       TensorFlow 2.0: a ______ is best way ...      





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