- 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
Regularization can prevent overfitting and potentially make algorithm converge faster and more performant. Useful in deep learning tasks, in...
In this downtown startup work space design the designers used fat boy bean bags and an extra wide step tiered staircase to create work space...
Can hack schools solve Silicon Valley's talent crunch? The truth about coding bootcamps and the students left behind http://t.co/xXNfqN...
This review is updated continuously throughout the program. Yay I just joined the Udacity Nanodegree for Digital Marketing! I am such an Uda...