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Fix TensorFlow GradientTape example returning None due to tensor not … #284

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Fix TensorFlow GradientTape example returning None due to tensor not … #284

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25 changes: 20 additions & 5 deletions chapter02_mathematical-building-blocks.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,11 @@
"colab_type": "text"
},
"source": [
"This is a companion notebook for the book [Deep Learning with Python, Third Edition](https://www.manning.com/books/deep-learning-with-python-third-edition). 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\nThe book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
"This is a companion notebook for the book [Deep Learning with Python, Third Edition](https://www.manning.com/books/deep-learning-with-python-third-edition). 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",
"\n",
"The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
]
},
{
Expand Down Expand Up @@ -1316,17 +1320,28 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": 1,
"metadata": {
"colab_type": "code"
},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"UsageError: Cell magic `%%backend` not found.\n"
]
}
],
"source": [
"%%backend tensorflow\n",
"import tensorflow as tf\n",
"\n",
"x = tf.zeros(shape=())\n",
"with tf.GradientTape() as tape:\n",
" # Explicitly tell the tape to track x, since tensors created with tf.zeros\n",
" # are not automatically watched (only tf.Variable objects are).\n",
" tape.watch(x)\n",
" y = 2 * x + 3\n",
"grad_of_y_wrt_x = tape.gradient(y, x)"
]
Expand Down Expand Up @@ -1449,9 +1464,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.0"
"version": "3.10.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
}