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Csaba Rohrer
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schedule_simplified.md

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* 09:00 - 09:30 Welcome and introduction
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* 09:30 10:10 Lecture #1: An introduction to deep learning & Introduction to Python
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* 09:30 - 10:10 Lecture #1: An introduction to deep learning & Introduction to Python
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* 10:10 - 10:20 Break
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* 10:20 11:30 Exercise #1: An introduction to deep learning & Introduction to Python
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* 10:20 - 11:30 Exercise #1: An introduction to deep learning & Introduction to Python
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* 11:30 - 12:00 Lecture #2: How a neural network trains
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* 12:00 13:00 Lunch break
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* 13:00 13:40 Exercise #2: How a neural network trains
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* 13:40 14:40 Lecture/Exercise #3: Convolutional neural networks
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* 12:00 - 13:00 Lunch break
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* 13:00 - 13:40 Exercise #2: How a neural network trains
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* 13:40 - 14:40 Lecture/Exercise #3: Convolutional neural networks
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* 14:40 - 14:50 Break
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* 14:50 15:50 Lecture/Exercise #4: Data augmentation and deployment
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* 15:50 17:00 Lecture/Exercise #5: Pre-trained models
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* 14:50 - 15:50 Lecture/Exercise #4: Data augmentation and deployment
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* 15:50 - 17:00 Lecture/Exercise #5: Pre-trained models
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