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Saturday, February 16, 2019

Udacity Deep Learning Nanodegree Mini Syllabus

Here are the topics it will cover
  • 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

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