Did you ever wonder exactly how neural networks work?

1. Neural Networks
from the Ground up
Frank La Vigne
FranksWorld.com / DataDriven.tv / @tableteer /
FranksWorld.tv
FrankLa@microsoft.com

2. NeuralNetworks
Whatdotheyknow?
Dotheyknowthings??
Let’sFindOut!

3. DataSciencePodcast
Data Driven Podcast
 Launched June 2017
 178 Episodes
 Over 80,000 downloads
 iTunes, Google Play, Spotify, Tune In, Facebook, etc

4. Writing
 Regular column in MSDN Magazine
 aka.ms/FrankMSDN
 Two new books on Data Science
 Yes, two
 Yes, I’m quite possibly insane

5. UsuallyYouSeeThis
 What is going on in this diagram?
 How does this structure work?
 Why does this structure work?

6. Inspired by Biology

9. CloserLookataNeuron

10. Santiago Ramón yCajal
 Santiago Ramón y Cajal (1852-1934) ventured
into science as both an artist and a pathologist
and became the first person to see a neuron.
 Working by gaslight, he made thin slices of brain
tissue and subjected them to the same silver-
nitrate chemistry he used to capture images on
photographic plates.

11. Starting toLookFamiliar

12. Artificial Neural Networks
 Modeled after biological neural networks
 Activation functions
 Pros
 Amazing results
 Cons
 Lack of explainability
 Computationally expensive
 Complexity

13. ArtificialNeuron

14. Sigmoid

16. Rememberthis
Graphic

17. CodeTime!
http://bit.ly/frankadfcode
https://notebooks.azure.com/FranksWorld/projects/Neural
NetworksBasics

18. CONVOLUTIONAL NEURAL NETWORK
dog
bicycle
apple
tennis
ball

19. CONVOLUTIONAL NEURAL NETWORK
dog
bicycle
apple
tennis
ball

20. TRANSFER LEARNING

21. TRANSFER LEARNING
hotdog
not
hotdog
F1
F2
F3
F4
F5
F6
F7
F8

22. Questions?

23. Recommended Training

24. Contactme
 frankla@Microsoft.com
 @tableteer
 FranksWorld.com
 DataDriven.tv
 aka.ms/FrankMSDN