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1
Introduction
2
Agenda
3
Disclaimer
4
The Big Picture
5
What is Deep Learning
6
History of Deep Learning
7
Today 2016
8
Data sets
9
Selfawareness
10
Multilayer perception
11
Layers and nodes
12
Connections
13
Activation Function
14
Softmax Function
15
Overfitting
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Feedforward Network
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Support Vector Machine
18
Deep Learning Algorithms
19
Backpropagation
20
Markov Models
21
Restricted Boltzmann Machines
22
Recurrent Neural Networks
23
State of the Art
24
Deep Mind
25
Open Source
26
Google
27
Facebook
28
Theano
29
Questions
Description:
Explore deep learning frameworks in this 41-minute talk by Peter Morgan at the ODSC London Meet-up. Gain insights from a computer science industry veteran with over 15 years of experience and a background in high-energy physics. Delve into the history and current state of deep learning, covering topics such as multilayer perception, activation functions, overfitting, and various deep learning algorithms. Learn about cutting-edge developments from industry leaders like DeepMind, Google, and Facebook, and discover open-source tools for implementing deep learning solutions. Enhance your understanding of neural networks, including feedforward networks, support vector machines, and recurrent neural networks. Perfect for data scientists and AI enthusiasts looking to expand their knowledge of deep learning frameworks and their practical applications.

ODSC London Meet-up - Deep Learning Frameworks

Open Data Science
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