- Building and training neural networks
- Model evaluation and validation
- Convolutional neural networks
- Autoencoders and feature extraction
- Transfer learning
- Recurrent neural networks
- Natural language processing
- Data augmentation
- Generative adversarial networks
- Hyperparameter tuning
- Model deployment and serving
Saturday, February 16, 2019
Udacity Deep Learning Nanodegree Mini Syllabus
Here are the topics it will cover
Data cleaning Missing data Outlier Others: duplicates, typos, special characters Strategy for missing data: imputation, mean, median...
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