Super Data Science: ML & AI Podcast with Jon Krohn 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised
Apr 26, 2017
Deep Learning expert Hadelin de Ponteves discusses supervised and unsupervised deep learning models, comparing deep learning to machine learning, applications of CNNs and RNNs, self-organizing maps for fraud detection, and the roles of 'artist' and 'engineer' in data science
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 3min
Exploring Deep Learning Models and Artificial Neural Networks
03:02 • 16min
Convolutional Neural Networks and Recurrent Neural Networks in Image Detection and Natural Language Processing
18:57 • 11min
Understanding Self-Organizing Maps for Unsupervised Learning and Fraud Detection
29:51 • 8min
Self-Organizing Maps, Boltzmann Machines, and Autoencoders in Deep Learning Models
38:09 • 13min
The Role of a Deep Learning Scientist
51:21 • 7min
Exploring Six Main Deep Learning Models with a Focus on the Boltzmann Machine
58:00 • 5min