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Estimating the Remaining Useful Life of Lithium Ion Batteries Using Artificial Neural Networks. Built upon Tensorflow Keras API 2.x. * Tried to Use both Sequential and Functional API Keras Model. * Got an Accuracy of 0.985 while interchanging proper Epochs and Batch Size.

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RUL-Estimation_of_Li-Ion_Batteries

Estimating the Remaining Useful Life of Lithium Ion Batteries Using Artificial Neural Networks. Built upon Tensorflow Keras API 2.x.

  • Tried to Use both Sequential and Functional API Keras Model.
  • Got an Accuracy of 0.985 while interchanging proper Epochs and Batch Size.

DATASET : @NASA

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Estimating the Remaining Useful Life of Lithium Ion Batteries Using Artificial Neural Networks. Built upon Tensorflow Keras API 2.x. * Tried to Use both Sequential and Functional API Keras Model. * Got an Accuracy of 0.985 while interchanging proper Epochs and Batch Size.

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