Applied Deep Learning with Keras
Solve complex real-life problems with the simplicity of Keras
4.21 (7 reviews)
92
students
10.5 hours
content
Jun 2020
last update
$19.99
regular price
What you will 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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2531246
udemy ID
8/28/2019
course created date
10/2/2019
course indexed date
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