Here we go over Scikit Learn which is a very powerful API (refer to my Scikit Learn series for more fun Scikit Learn stuff: • Intro to Scikit Learn ). I walk you through two wrappers for the Scikit Learn API (KerasClassifier and KerasRegressor) - each of these has a build function as well as some parameters. I then go ahead and show you what a build function is (it is important to note that it can only use sequential models). Finally, I go over grid searching and pipelining (along with some cool applications).
Links:
1) Link to my Scikit Learn tutorial - A Bit of DataScience and Scikit Learn: • Intro to Scikit Learn
2) The Hitchhiker's Guide to Python - one of the best handbooks to the installation, configuration, and usage of Python that I have come across: http://docs.python-guide.org/en/latest/
3) Link to Keras: https://keras.io
4) Link to TensorFlow: https://www.tensorflow.org
5) GitHub link to a-bit-of-deep-learning-and-keras notebooks: https://github.com/knathanieltucker/a...
6) Link to the History of Deep Learning video will be up soon!
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