René's URL Explorer Experiment


Title: Intro to Deep Learning

Description: Deep Learning Tutorial using Keras

direct link

Domain: kitchell.github.io

authorLindsey M Kitchell

Links:

1. Intro to Deep Learninghttps://kitchell.github.io/DeepLearningTutorial/1introtodeeplearning.html
2. Intro to Kerashttps://kitchell.github.io/DeepLearningTutorial/2introtokeras.html
3. MLPs in Kerashttps://kitchell.github.io/DeepLearningTutorial/3mlpsinkeras.html
4. CNNs in Kerashttps://kitchell.github.io/DeepLearningTutorial/4cnnsinkeras.html
5. Activation Functionshttps://kitchell.github.io/DeepLearningTutorial/5activationfunctions.html
6. Other Useful Keras Functionshttps://kitchell.github.io/DeepLearningTutorial/6otherkerasfunctions.html
7. Loss Functions and Optimizershttps://kitchell.github.io/DeepLearningTutorial/7lossfunctionsoptimizers.html
8. Evaluating Neural Networkshttps://kitchell.github.io/DeepLearningTutorial/8evaluatingnns.html
9. Data Preprocessinghttps://kitchell.github.io/DeepLearningTutorial/9datapreprocessing.html
10. Regularizationhttps://kitchell.github.io/DeepLearningTutorial/10regularization.html
11. Hyperparameter Tuninghttps://kitchell.github.io/DeepLearningTutorial/11hyperparametertuning.html
Home (current)https://kitchell.github.io/DeepLearningTutorial/index.html
About the Authorhttps://lindseykitchell.weebly.com/
sklearn documentationhttp://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV
sklearn documentationhttp://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html#sklearn.model_selection.RandomizedSearchCV
Here's an example comparing the two types of search in sklearnhttp://scikit-learn.org/stable/auto_examples/model_selection/plot_randomized_search.html#sphx-glr-auto-examples-model-selection-plot-randomized-search-py
Hyperashttp://maxpumperla.com/hyperas/
Hyperopthttp://hyperopt.github.io/hyperopt/
http://neupy.com/2016/12/17/hyperparameter_optimization_for_neural_networks.htmlhttp://neupy.com/2016/12/17/hyperparameter_optimization_for_neural_networks.html
https://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/pydata-london2017/4.%20HyperParameter%20Tuning.ipynbhttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/pydata-london2017/4.%20HyperParameter%20Tuning.ipynb
http://scikit-learn.org/stable/modules/grid_search.htmlhttp://scikit-learn.org/stable/modules/grid_search.html

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