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Intro
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WHAT IS DEEP LEARNING? A Classification Example
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IMAGE CLASSIFICATION WITH DNNS
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HOW DO I GET DIGITS? Two ways to install it
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TRAINING AND VALIDATION DATA Why do we need it?
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NVIDIA DIGITS Network Configuration - Start with a Standard Network
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LENET Network Configuration
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OVERFITTING AND UNDERFITTING How can I use DIGITS to tell me this is happening?
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NVIDIA DIGITS Single Image Classification
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SINGLE IMAGE CLASSIFICATION RESULTS
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NETWORK PARAMETERS
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NVIDIA DIGITS Modifying your Network
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USING AN AUGMENTED DATA SET
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ANOTHER WAY TO IMPROVE PERFORMANCE Data Augmentation Example augmentation - Inverted copies of the input data
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DEPLOYING YOUR NETWORK
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DEPLOYMENT WITH TEGRA Rapid Classification Anywhere
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NVIDIA DIGITS Resources
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HANDS-ON LAB
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DEEP LEARNING LAB SERIES SCHEDULE
Description:
Explore the fundamentals of deep learning using NVIDIA's DIGITS (Deep Learning GPU Training System) in this introductory lesson. Learn to create, test, and optimize neural networks for image classification tasks. Discover how to configure networks, prevent overfitting and underfitting, perform single image classification, and improve performance through data augmentation. Gain insights into network deployment, including rapid classification with Tegra. Access hands-on lab exercises and additional resources to reinforce your understanding of deep learning concepts and practical applications.

NVIDIA Deep Learning: Getting Started with DIGITS - Class 2

Nvidia
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#Computer Science #Deep Learning #Artificial Intelligence #Neural Networks #Computer Vision #Image Classification #Machine Learning #Overfitting #Data Augmentation
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Intro