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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python

Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python

Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani

E-book
This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries.

You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more.

By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems

This Learning Path includes content from the following Packt products:

• Mastering Machine Learning Algorithms by Giuseppe Bonaccorso
• Mastering TensorFlow 1.x by Armando Fandango
• Deep Learning for Computer Vision by Rajalingappaa Shanmugamani
  • 1. Machine Learning Model Fundamentals
  • 2. Introduction to Semi-Supervised Learning
  • 3. Graph-Based Semi-Supervised Learning
  • 4. Bayesian Networks and Hidden Markov Models
  • 5. EM Algorithm and Applications
  • 6. Hebbian Learning and Self-Organizing Maps
  • 7. Clustering Algorithms
  • 8. Advanced Neural Models
  • 9. Classical Machine Learning with TensorFlow
  • 10. Neural Networks and MLP with TensorFlow and Keras
  • 11. RNN with TensorFlow and Keras
  • 12. CNN with TensorFlow and Keras
  • 13. Autoencoder with TensorFlow and Keras
  • 14. TensorFlow Models in Production with TF Serving
  • 15. Deep Reinforcement Learning
  • 16. Generative Adversarial Networks
  • 17. Distributed Models with TensorFlow Clusters
  • 18. Debugging TensorFlow Models
  • 19. Tensor Processing Units
  • 20. Getting Started
  • 21. Image Classification
  • 22. Image Retrieval
  • 23. Object Detection
  • 24. Semantic Segmentation
  • 25. Similarity Learning
  • Titel: Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
  • Autor: Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
  • Originaler Titel: Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
  • ISBN: 9781789957211, 9781789957211
  • Veröffentlichungsdatum: 2018-12-21
  • Format: E-book
  • Artikelkennung: e_15er
  • Verleger: Packt Publishing