Deep Learning, an introduction with two nice short examples

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The booklet provides a concise introduction to deep learning, focusing on neural networks and their training processes. It explains how computers learn from training data and apply this knowledge to similar problems. Two straightforward Python examples illustrate the concepts of forward and back propagation, demonstrating practical applications such as learning truth tables and recognizing questionnaires. The included code is complete and designed for easy comprehension, making it accessible for beginners interested in artificial intelligence.