Deep Learning for Finance

Index

A

• activation functions, Activation Functions-Activation Functions
• AdaBoost regression, AdaBoost Regression-AdaBoost Regression
• adaptive moment estimation (Adam), Optimization Algorithms
• addition rule, Introduction to Probabilistic Concepts
• ADF (augmented Dickey–Fuller) test, The Concept of Stationarity-The Concept of Stationarity
• adjacent line, Trigonometry
• adversarial training, Applying Regularization to MLPs
• algebra, defined, Linear Algebra and Calculus for Deep Learning
• algorithms
  • data science and, Understanding Data Science-Understanding Data Science
  • defined, Understanding Data Science
• alpha trading, Introducing Technical Analysis
• alternative investment classes, Introduction to Financial Markets and Trading
• anchoring bias, Cognitive biases
• ANNs (see artificial neural networks)
• anonymous (lambda) function, Applying Regularization to MLPs
• arbitrage, Understanding Data Science
• arithmetic operators, in Python, Basic Operations and Syntax
• arrays, in Python, Basic Operations and Syntax
• artificial neural networks (ANNs), A Walk Through Neural Networks-Multilayer Perceptrons
  • activation functions, Activation Functions-Activation Functions
  • backpropagation, Backpropagation-Backpropagation
  • layers, A Walk Through Neural Networks
  • multilayer perceptrons, Multilayer Perceptrons-Multilayer Perceptrons
  • optimization algorithms, Optimization Algorithms
  • regularization techniques, Regularization Techniques
• audio data, Understanding Data
• augmented Dickey–Fuller (ADF) test, The Concept of Stationarity-The Concept of Stationarity ...