t81_558_class_13_5_new_tech.ipynb

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    "# T81-558: Applications of Deep Neural Networks\n",
    "**Module 14: Other Neural Network Techniques**\n",
    "* Instructor: [Jeff Heaton](https://sites.wustl.edu/jeffheaton/), McKelvey School of Engineering, [Washington University in St. Louis](https://engineering.wustl.edu/Programs/Pages/default.aspx)\n",
    "* For more information visit the [class website](https://sites.wustl.edu/jeffheaton/t81-558/)."
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Module 13 Video Material\n",
    "\n",
    "* Part 13.1: Using Denoising AutoEncoders [[Video]]() [[Notebook]](t81_558_class_13_1_auto_encode.ipynb)\n",
    "* Part 13.2: Anomaly Detection [[Video]]() [[Notebook]](t81_558_class_13_2_anomaly.ipynb)\n",
    "* Part 13.3: Model Drift and Retraining [[Video]]() [[Notebook]](t81_558_class_13_3_retrain.ipynb)\n",
    "* Part 13.4: Tensor Processing Units (TPUs) [[Video]]() [[Notebook]](t81_558_class_13_4_tpu.ipynb)\n",
    "* **Part 13.5: Future Directions in Artificial Intelligence** [[Video]]() [[Notebook]](t81_558_class_13_5_new_tech.ipynb)\n"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Google CoLab Instructions\n",
    "\n",
    "The following code checks that Google CoLab is and sets up the correct hardware settings for PyTorch.\n"
   ]
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  {
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   "source": [
    "import torch\n",
    "\n",
    "try:\n",
    "    import google.colab\n",
    "    COLAB = True\n",
    "    print(\"Note: using Google CoLab\")\n",
    "except:\n",
    "    print(\"Note: not using Google CoLab\")\n",
    "    COLAB = False\n",
    "\n",
    "# Make use of a GPU or MPS (Apple) if one is available.  (see module 3.2)\n",
    "has_mps = torch.backends.mps.is_built()\n",
    "device = \"mps\" if has_mps else \"gpu\" if torch.cuda.is_available() else \"cpu\"\n",
    "print(f\"Using device: {device}\")"
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   "source": [
    "# Part 13.5: Future Directions in Artificial Intelligence\n",
    "\n",
    "This course changes often to keep up with the rapidly evolving deep learning landscape. If you would like to continue to monitor this class, I suggest following me on the following:\n",
    "\n",
    "* [GitHub](https://github.com/jeffheaton) - I post all changes to GitHub.\n",
    "* [Jeff Heaton's YouTube Channel](https://www.youtube.com/user/HeatonResearch) - I add new videos for this class on my channel.\n",
    "\n",
    "\n",
    "I hope that you have enjoyed this course. If you have any suggestions for improvement or technology suggestions, please get in touch with me. This course is always evolving, and I invite you to subscribe to my [YouTube channel](https://www.youtube.com/user/HeatonResearch) for my latest updates. I also frequently post videos beyond the scope of this course, so the channel itself is a good next step. Thank you very much for your interest and focus on this course. Other social media links for me include:\n",
    "\n",
    "* [Jeff Heaton GitHub](https://github.com/jeffheaton)\n",
    "* [Jeff Heaton Twitter](https://twitter.com/jeffheaton)\n",
    "* [Jeff Heaton Medium](https://medium.com/@heatonresearch)\n",
    "\n",
    "\n"
   ]
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