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Copy file name to clipboardExpand all lines: chapter07_working-with-keras.ipynb
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"colab_type": "text"
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"source": [
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"This is a companion notebook for the book [Deep Learning with Python, Second Edition](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras&a_bid=76564dff). For readability, it only contains runnable code blocks and section titles, and omits everything else in the book: text paragraphs, figures, and pseudocode.\n\n**If you want to be able to follow what's going on, I recommend reading the notebook side by side with your copy of the book.**\n\nThis notebook was generated for TensorFlow 2.6."
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"This is a companion notebook for the book [Deep Learning with Python, Second Edition](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras&a_bid=76564dff). For readability, it only contains runnable code blocks and section titles, and omits everything else in the book: text paragraphs, figures, and pseudocode.\n",
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"\n",
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"**If you want to be able to follow what's going on, I recommend reading the notebook side by side with your copy of the book.**\n",
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"\n",
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"This notebook was generated for TensorFlow 2.6."
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{
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" with tf.GradientTape() as tape:\n",
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" predictions = self(inputs, training=True)\n",
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" loss = self.compiled_loss(targets, predictions)\n",
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