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_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Let's unpack what we just did:\n",
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"Let's upack what we just did:\n",
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"\n",
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"- We created a tensor using one of the numerous factory methods\n",
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" attached to the `torch` module.\n",
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"cell_type": "markdown",
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"metadata": {},
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"The factory methods all do just what you'd expect - we have a tensor\n",
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"full of zeros, another full of ones, and another with random values\n",
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"between 0 and 1.\n",
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"The fctory methods all do just what you'd expect - we have a tensor full\n",
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"of zeros, another full of ones, and another with random values between 0\n",
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"and 1.\n",
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"\n",
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"Random Tensors and Seeding\n",
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"==========================\n",

_downloads/be017e7b39198fdf668c138fd8d57abe/tensors_deeper_tutorial.py

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##########################################################################
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# Let’s unpack what we just did:
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# Let’s upack what we just did:
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#
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# - We created a tensor using one of the numerous factory methods
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# attached to the ``torch`` module.
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#########################################################################
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# The factory methods all do just what you’d expect - we have a tensor
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# The fctory methods all do just what you’d expect - we have a tensor
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# full of zeros, another full of ones, and another with random values
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# between 0 and 1.
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#
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_images/sphx_glr_coding_ddpg_001.png

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