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Applied Deep Learning with Keras

 Applied Deep Learning with Keras. Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API. Though designing neural networks is a sought-after skill, it is not easy to master.

 Applied Deep Learning with Keras

What you'll learn
  • Understand the difference between single-layer and multi-layer neural network models
  • Use Keras to build simple logistic regression models, deep neural networks, recurrent neural networks, and convolutional neural networks
  • Apply L1, L2, and dropout regularization to improve the accuracy of your model
  • Implement cross-validate using Keras wrappers with scikit-learn
  • Understand the limitations of model accuracy
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