{ "metadata": { "document_type": "slide_deck", "document_type_confidence": 0.92, "document_type_reasons": [ "page count 40 in range [3, 200]", "font diversity 4 in range [2, 10]", "text contains 'slides' (1 hits)", "text contains 'presentation' (1 hits)" ], "profile_name": "slide_deck", "profile_version": "1.0.0", "profile_fields": { "title": "Introduction to Machine Learning", "presenter": "Prof. Robert Chen, PhD", "date": null, "slide_titles": [ "Introduction to Machine Learning", "Overview", "What is a Neural Network?", "Perceptrons", "Multi-Layer Networks", "Activation Functions", "Backpropagation", "Loss Functions", "Optimization", "Regularization", "Convolutional Networks", "Recurrent Networks", "Transformer Architecture", "Attention Mechanisms", "Training Strategies", "Hyperparameter Tuning", "Evaluation Metrics", "Case Studies", "Current Research", "Future Directions", "Summary", "References", "Q1", "Q2", "Q3", "Q4", "Q5", "Q6", "Q7", "Q8", "Q9", "Q10", "Q11", "Q12", "Q13", "Q14", "Q15", "Thank You" ] } } }