Hyperparameter Tuning with Keras Tuner

Project Implementation….

Naina Chaturvedi
DataDrivenInvestor
Published in
10 min readJun 2, 2021

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Credits : Packt Subs

Hyperparameters are those tunable parameters which can directly affect how well a model trains and are set before the learning process begins. Examples of hyperparameters are —

  • Number of Epochs
  • Momentum
  • Regularization constant
  • Learning Rate

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🇺🇸,World Traveler, Sr. SDE, Researcher Cornell Uni, Women in Tech, Coursera Instructor ML & GCP, Trekker, IITB,Reader,I write for fun@AI & Python publications