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Machine Learning for Software Developers and Knitters

NDC Conferences via YouTube

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Overview

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This session introduces AI and machine learning for software developers, then demonstrates an AWS application that trains a model to reverse-engineer knitting patterns from images. It covers preparing and labeling training data, model training, deployment, and a web frontend for inference.

Syllabus

Intro
Machine Learning for Software Developers
AWS Machine Learning Stack
Get training data 2. Label training data 3. Train ML model
1. Get training data
Deploy ML model
Build web frontend for inference
Training job #1 Number of training Images: 368 Validation-accuracy=0.458333
Rekognition Custom Labels Number of training images: 900 Average precision=0.977 Overall recall=0.985 F1 score=0.981
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NDC Conferences

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