This test for Keras evaluates candidates' knowledge of deep neural networks, CNN & RNN architectures, feature engineering, hyperparameter tuning, TensorFlow & Theano, natural language processing, and transfer learning.
Candidates should be able to create and train deep neural networks using Keras and apply techniques such as dropout regularization and early stopping.
Questions
20
Time
20 min
Level
intermediate
Used
6790
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