Neural Networks for Digital Humanities

Explore artificial intelligence, machine learning, and deep learning concepts through this comprehensive video tutorial series specifically designed for humanities scholars and learners without mathematical backgrounds. Master the fundamentals of neural networks while learning practical applications of TensorFlow and Keras frameworks for solving humanities-focused problems. Begin with foundational concepts including machine learning basics, neural network architecture, model training processes, and validation techniques before progressing to hands-on implementation. Discover different types of neural networks and understand the roles of TensorFlow and Keras in deep learning development. Apply your knowledge through a complete binary text classification project that demonstrates how to distinguish between authors Dan Brown and Oscar Wilde, covering data preparation, labeling, model creation, training, and testing processes. Learn essential skills for saving, loading, and evaluating models while building practical experience with real humanities applications throughout this nearly three-hour tutorial series.