Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Buy

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI projects to gain confidence in building self-trained applications

Book Description

Reinforcement learning is one of the most exciting and rapidly growing fields in machine learning. This is due to the many novel algorithms developed and incredible results published in recent years.

In this book, you will learn about the core concepts of RL including Q-learning, policy gradients, Monte Carlo processes, and several deep reinforcement learning algorithms. As you make your way through the book, you'll work on projects with datasets of various modalities including image, text, and video. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore technologies such as TensorFlow and OpenAI Gym to implement deep learning reinforcement learning algorithms that also predict stock prices, generate natural language, and even build other neural networks.

By the end of this book, you will have hands-on experience with eight reinforcement learning projects, each addressing different topics and/or algorithms. We hope these practical exercises will provide you with better intuition and insight about the field of reinforcement learning and how to apply its algorithms to various problems in real life.

What you will learn

  • Train and evaluate neural networks built using TensorFlow for RL
  • Use RL algorithms in Python and TensorFlow to solve CartPole balancing
  • Create deep reinforcement learning algorithms to play Atari games
  • Deploy RL algorithms using OpenAI Universe
  • Develop an agent to chat with humans
  • Implement basic actor-critic algorithms for continuous control
  • Apply advanced deep RL algorithms to games such as Minecraft
  • Autogenerate an image classifier using RL

Who this book is for

Python Reinforcement Learning Projects is for data analysts, data scientists, and machine learning professionals, who have working knowledge of machine learning techniques and are looking to build better performing, automated, and optimized deep learning models. Individuals who want to work on self-learning model projects will also find this book useful.

Table of Contents

  1. Up and running with Reinforcement Learning
  2. Balancing Cart Pole
  3. Playing ATARI Games
  4. Simulating Control Tasks
  5. Building Virtual Worlds in Minecraft
  6. Learning to Play Go
  7. Creating a Chatbot
  8. Generating a Deep Learning Image Classifier
  9. Predicting Future Stock Prices
  10. Looking Ahead
(HTML tags aren't allowed.)

C# Complete
C# Complete

C# Complete is a one-of-a-kind book--valuable both for its broad content and its low price. Whether you're brand-new to C# programming, are migrating from Visual Basic or Visual C++ to C#, or have already developed some expertise in C#, you'll get the skills you need to become proficient with Microsoft's powerful new language...

Godot Engine Game Development Projects: Build five cross-platform 2D and 3D games with Godot 3.0
Godot Engine Game Development Projects: Build five cross-platform 2D and 3D games with Godot 3.0

Create interactive cross-platform games with the Godot Engine 3.0

Key Features

  • Learn the art of developing cross-platform games
  • Leverage Godot's node and scene system to design robust, reusable game objects
  • Integrate Blender easily and efficiently with...
Evolving Digital Leadership: How to Be a Digital Leader in Tomorrow’s Disruptive World
Evolving Digital Leadership: How to Be a Digital Leader in Tomorrow’s Disruptive World
Get ready to be an effective digital leader, influencer, disruptor, and catalyst for change in the digital world!

As a leader you need to constantly evolve to achieve sustained success. The world is being transformed by Digital. The pace of change is constantly accelerating and volatility and complexity are the
...

Mastering PyCharm
Mastering PyCharm

Use PyCharm with fluid efficiency to write idiomatic python code

About This Book

  • Understand how PyCharm works and how you can leverage its strength to develop applications quickly
  • Master PyCharm's editor to get a fast workflow
  • Full of examples and illustrations that...
Creativity in the Schizophrenia Spectrum: A Special Issue of the creativity Research Journal (Creativity Research Journal Volume 13, Number 1)
Creativity in the Schizophrenia Spectrum: A Special Issue of the creativity Research Journal (Creativity Research Journal Volume 13, Number 1)

The articles in this special issue seek to re-examine the relationship between creativity and the schizophrenia spectrum of disorders in the wake of recent research and theorizing. They revisit both empirical and conceptual findings and issues regarding connections between the schizophrenia spectrum of disorders: schizotypy, psychotic-like...

Business Continuity and Disaster Recovery Planning for IT Professionals, Second Edition
Business Continuity and Disaster Recovery Planning for IT Professionals, Second Edition

Powerful Earthquake Triggers Tsunami in Pacific. Hurricane Isaac Makes Landfall in the Gulf Coast. Wildfires Burn Hundreds of Houses and Businesses in Colorado. Tornado Touches Down in Missouri. These headlines not only have caught the attention of people around the world, they have had a significant effect on IT professionals as well. The...

©2021 LearnIT (support@pdfchm.net) - Privacy Policy