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Katharine Beaumont

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Neural Networks: WalkthroughDevoxx Belgium 20172017-11-06
Step-by-step walkthrough of building and training simple neural nets using Python and TensorFlow with live demos: explains linear, binary threshold, sigmoid…
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Neural Networks WalkthroughJavaDay Ukraine 20172017-11-04
Basic walkthrough of neural networks that explains actual mechanics: linear, binary threshold, sigmoid and ReLU neurons; how weights, loss functions and…
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Machine Learning Exposed: Introduction to Machine LearningVoxxed Days Ticino 20172017-05-06
Starts with a hands‑on linear regression example predicting house price using a single feature, shows the squared‑error cost and finds optima with gradient…
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Machine Learning Exposed Introduction to Machine LearningVoxxed Days Vienna 20172017-03-16
Covers supervised, unsupervised and reinforcement methods with concrete demos: linear regression on 10 examples of house size yields a squared error cost 4418…
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Machine Learning Exposed Deep and Reinforcement LearningVoxxed Days Vienna 20172017-03-16
Gentle walkthrough of neural nets that actually builds and runs examples: a Java web app (Java + Spring + Angular 2) visualizes feed‑forward math on XOR and…
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