Voulgaris Z., Bulut Y. AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond

New Jersey, 2018. — 231 p.Deep Learning Frameworks.
AI Methodologies Beyond Deep Learning.
Building a DL Network Using MXNet.
Building a DL Network Using TensorFlow.
Building a DL Network Using Keras.
Building an Optimizer Based on the Particle Swarm Optimization Algorithm.
Building an Optimizer Based on Genetic Algorithms.
Building an Optimizer Based on Simulated Annealing.
Building an Advanced Deep Learning System.
Building an Optimization Ensemble.
Alternative AI Frameworks in Data Science.
Next Steps.
Reinforcement Learning.
Autoencoder Systems.
Generative Adversarial Networks.
The Business Aspect of AI in Data Science Projects.
Using Docker Image of the Book’s Code and Data.