An Interactive Approach to Understanding Deep Learning with Keras
machine-learning
tensorflow
scikit-learn
keras
cross-validation
regression
classification
artificial-neural-networks
logistic-regression
regularization
support-vector-machine
vectors
decision-trees
hyperparameter-tuning
model-evaluation
magnetic-resonance-imaging
k-means-clustering
model-tuning
scalars
linear-transformation
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Updated
Jun 8, 2021 - Jupyter Notebook