data-science-ipython-notebooks/deep-learning/keras-tutorial/4. Conclusions.ipynb

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2.3 KiB
Python

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"Credits: Forked from [deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow) by Valerio Maggio"
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"source": [
"# Conclusions"
]
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"* Keras is a powerful and battery-included framework for Deep Learning in Python\n",
"\n",
"* Keras is **simple** to use..\n",
"\n",
"* ...but it is **not** for simple things!"
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"<img src=\"imgs/keras_rank_1.jpg\" width=\"65%\" />"
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"<img src=\"imgs/keras_rank_2.jpg\" width=\"65%\" />"
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"source": [
"## Some References for .."
]
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"source": [
"#### Cutting Edge\n",
"\n",
"* Fractal Net Implementation with Keras: https://github.com/snf/keras-fractalnet -\n",
"* Please check out: [https://github.com/fchollet/keras-resources]()"
]
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"source": [
"#### Hyper-Cool\n",
"\n",
"* Hyperas: https://github.com/maxpumperla/hyperas\n",
" - A web dashboard for Keras Models"
]
}
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