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

01:03:00

Episode guests

Hadelin de Ponteves

AI Summary

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

Artificial neural networks mimic human brain for nonlinear problem-solving.

CNNs excel in image detection, extend to text and video applications.

PyTorch and TensorFlow offer powerful deep learning capabilities with specific strengths.

Deep dives

Deep Learning Models Overview

Deep learning models covered in this episode include artificial neural networks, convolutional neural networks, recurrent neural networks, self-organizing maps, Boltzmann machines, and autoencoders. Each model is explained in detail regarding its structure, functionality, and practical applications.

Intro

3min

Exploring Deep Learning Models and Artificial Neural Networks

16min

Convolutional Neural Networks and Recurrent Neural Networks in Image Detection and Natural Language Processing

11min

Understanding Self-Organizing Maps for Unsupervised Learning and Fraud Detection

8min

Self-Organizing Maps, Boltzmann Machines, and Autoencoders in Deep Learning Models

13min

The Role of a Deep Learning Scientist

7min

Exploring Six Main Deep Learning Models with a Focus on the Boltzmann Machine

5min

In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/47

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