Image Classification with DIGITS - NVIDIA

[Pages:58]Image Classification with DIGITS

Hyungon Ryu

Certified Instructor, NVIDIA Deep Learning Institute NVIDIA Corporation

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DEEP LEARNING INSTITUTE

DLI Mission

Helping people solve challenging problems using AI and deep learning.

? Developers, data scientists and engineers

? Self-driving cars, healthcare and robotics

? Training, optimizing, and deploying deep neural networks

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WHAT IS DEEP LEARNING?

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Machine Learning Neural Networks

Deep Learning

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DEEP LEARNING EVERYWHERE

INTERNET & CLOUD

Image Classification Speech Recognition Language Translation Language Processing Sentiment Analysis

Recommendation

MEDICINE & BIOLOGY

Cancer Cell Detection Diabetic Grading Drug Discovery

MEDIA & ENTERTAINMENT

Video Captioning Video Search

Real Time Translation

SECURITY & DEFENSE

Face Detection Video Surveillance Satellite Imagery

AUTONOMOUS MACHINES

Pedestrian Detection Lane Tracking

Recognize Traffic Sign

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ARTIFICIAL NEURONS

Biological neuron

Artificial neuron y

From Stanford cs231n lecture notes

Weights (Wn) = parameters

w1

w2

w3

x1

x2

x3

y=F(w1x1+w2x2+w3x3)

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MLP

Input Layer

1 W11_1

2

3

4 W14_3

Hidden Layer

Output Layer

1

W21_1

1 2

2 3

W23_2

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ANN for MNIST

28x28=784

Input Layer

1 W11_1

2

Hidden Layer

Output Layer

1

W21_1

1

784 W14_3

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84

W23_2

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