Get training data 2. Label training data 3. Train ML model
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1. Get training data
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Deploy ML model
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Build web frontend for inference
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Training job #1 Number of training Images: 368 Validation-accuracy=0.458333
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Rekognition Custom Labels Number of training images: 900 Average precision=0.977 Overall recall=0.985 F1 score=0.981
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Explore machine learning for software developers and knitting enthusiasts in this NDC Melbourne 2021 conference talk. Discover the latest advancements in AI/ML tooling, making it accessible to professionals beyond data scientists. Learn about innovative applications in risk identification, conversational AI, autonomous driving, vaccine optimization, and art creation. Gain insights into AWS services designed to simplify the machine learning process. Follow along as the speaker demonstrates a unique project: teaching a computer to reverse engineer knitting patterns in pursuit of creating the world's first knitting replicator. Delve into the practical steps of machine learning, including data collection, labeling, model training, deployment, and building a web frontend for inference. Examine real-world training results and performance metrics, showcasing the potential of custom machine learning models in specialized domains.
Machine Learning for Software Developers and Knitters