Hyperparameter optimization in neural networks is generally done heuristically, by varying each individual parameter such as learning rate, batch size and number of steps. Sklearn automates this by using the GridSearchCV [1] Usually Sklearn's examples and documentation is spot on and copy/pasting an example works with minimal changes. However this wasn't quite the case with … Continue reading Nugget Post: Skflow GridSearch
Lessons Learned: Installing SkFlow
SkFlow is the scikit-learn interface to Google's opensource AI library TensorFlow. Installation started off straightforward enough and simply installing numpy and sklearn satisfied pre-requisites. Next we install TensorFlow with a simple: sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.1-cp27-none-linux_x86_64.whl And last we install SkFlow itself with: pip install skflow Two stumbling blocks came up in by installation. When installing … Continue reading Lessons Learned: Installing SkFlow
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