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