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SageMaker Hyper-Parameter Optimization: classify heartbeat anomalies from stethoscope audio

francescopochetti.com · published 19 June 2019

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https://github.com/FraPochetti/KagglePlaygrounds/blob/master/HeartbeatSound.ipynb
github.com
https://github.com/FraPochetti/KagglePlaygrounds/blob/master/heartsound_mxnet.py
github.com
https://medium.com/@navdeepsingh_2336/identifying-the-genre-of-a-song-with-neural-networks-851db89c42f0
medium.com
https://towardsdatascience.com/music-genre-classification-with-python-c714d032f0d8
towardsdatascience.com
https://www.kaggle.com/mmoreaux/audio-cats-and-dogs
kaggle.com
https://www.kaggle.com/kinguistics/heartbeat-sounds
kaggle.com
https://www.who.int/cardiovascular_diseases/en/
who.int
https://medictests.com/heart-tones/
medictests.com
https://en.wikipedia.org/wiki/Heart_sounds
en.wikipedia.org
https://en.wikipedia.org/wiki/Spectrogram
en.wikipedia.org
https://librosa.github.io/librosa/index.html
librosa.github.io
https://francescopochetti.com/is-it-a-thriller-inferring-movie-genre-from-its-poster-in-aws-sagemaker/
francescopochetti.com
https://aws.amazon.com/sagemaker/
aws.amazon.com
https://docs.aws.amazon.com/sagemaker/latest/dg/image-classification.html
docs.aws.amazon.com
https://github.com/awslabs/amazon-sagemaker-examples/blob/master/hyperparameter_tuning/mxnet_gluon_cifar10_random_search/hyperparameter_tuning_mxnet_gluon_cifar10_random_search.ipynb
github.com
https://github.com/FraPochetti/KagglePlaygrounds/blob/f83401affba2cbc79e2c4bb6dc5e41f5d86fae95/heartsound_mxnet.py
github.com
https://github.com/awslabs/amazon-sagemaker-examples
github.com
https://hyperopt.github.io/hyperopt/
hyperopt.github.io