Applied Deep Learning with Keras
Ditulis pada: December 25, 2019
Applied Deep Learning with Keras, Solve complex real-life problems with the simplicity of Keras
Created by Packt Publishing
English
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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
