- 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
Uniqtech guide to Machine Learning. This guide explains the difference between machine learning, traditional programming, machine learning w...
Can hack schools solve Silicon Valley's talent crunch? The truth about coding bootcamps and the students left behind http://t.co/xXNfqN...
The bogus request from P2PU to hunt for HTML tags in real life has yielded a lot of good thoughts. My first impression was that this is stup...
This review is updated continuously throughout the program. Yay I just joined the Udacity Nanodegree for Digital Marketing! I am such an Uda...