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lennrt committed Jul 10, 2015
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"source": [
"# Deep Dreams (with Caffe)\n",
"\n",
"This notebook demonstrates how to use [Caffe](http://caffe.berkeleyvision.org/) neural network framework to produce \"dream\" visuals shown in the [Google Research blog post](http://googleresearch.blogspot.ch/2015/06/inceptionism-going-deeper-into-neural.html).\n",
"This notebook demonstrates how to use the [Caffe](http://caffe.berkeleyvision.org/) neural network framework to produce \"dream\" visuals shown in the [Google Research blog post](http://googleresearch.blogspot.ch/2015/06/inceptionism-going-deeper-into-neural.html).\n",
"\n",
"It'll be interesting to see what imagery people are able to generate using the described technique. If you post images to Google+, Facebook, or Twitter, be sure to tag them with **#deepdream** so other researchers can check them out too.\n",
"\n",
"##Dependencies\n",
"This notebook is designed to have as few dependencies as possible:\n",
"* Standard Python scientific stack: [NumPy](http://www.numpy.org/), [SciPy](http://www.scipy.org/), [PIL](http://www.pythonware.com/products/pil/), [IPython](http://ipython.org/). Those libraries can also be installed as a part of one of scientific packages for Python, such as [Anaconda](http://continuum.io/downloads) or [Canopy](https://store.enthought.com/).\n",
"* Standard Python scientific stack: [NumPy](http://www.numpy.org/), [SciPy](http://www.scipy.org/), [PIL](http://www.pythonware.com/products/pil/), [IPython](http://ipython.org/). Those libraries can also be installed as a part of one of the scientific packages for Python, such as [Anaconda](http://continuum.io/downloads) or [Canopy](https://store.enthought.com/).\n",
"* [Caffe](http://caffe.berkeleyvision.org/) deep learning framework ([installation instructions](http://caffe.berkeleyvision.org/installation.html)).\n",
"* Google [protobuf](https://developers.google.com/protocol-buffers/) library that is used for Caffe model manipulation."
]
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