How Long to Read Keras Reinforcement Learning Projects

How Long Does it Take to Read Keras Reinforcement Learning Projects?

It takes the average reader 4 hours and 40 minutes to read Keras Reinforcement Learning Projects by Giuseppe Ciaburro

Assuming a reading speed of 250 words per minute. Learn more

Description

A practical guide to mastering reinforcement learning algorithms using Keras Key FeaturesBuild projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into actionGet to grips with Keras and practice on real-world unstructured datasetsUncover advanced deep learning algorithms such as Monte Carlo, Markov Decision, and Q-learningBook Description Reinforcement learning has evolved a lot in the last couple of years and proven to be a successful technique in building smart and intelligent AI networks. Keras Reinforcement Learning Projects installs human-level performance into your applications using algorithms and techniques of reinforcement learning, coupled with Keras, a faster experimental library. The book begins with getting you up and running with the concepts of reinforcement learning using Keras. You’ll learn how to simulate a random walk using Markov chains and select the best portfolio using dynamic programming (DP) and Python. You’ll also explore projects such as forecasting stock prices using Monte Carlo methods, delivering vehicle routing application using Temporal Distance (TD) learning algorithms, and balancing a Rotating Mechanical System using Markov decision processes. Once you’ve understood the basics, you’ll move on to Modeling of a Segway, running a robot control system using deep reinforcement learning, and building a handwritten digit recognition model in Python using an image dataset. Finally, you’ll excel in playing the board game Go with the help of Q-Learning and reinforcement learning algorithms. By the end of this book, you’ll not only have developed hands-on training on concepts, algorithms, and techniques of reinforcement learning but also be all set to explore the world of AI. What you will learnPractice the Markov decision process in prediction and betting evaluationsImplement Monte Carlo methods to forecast environment behaviorsExplore TD learning algorithms to manage warehouse operationsConstruct a Deep Q-Network using Python and Keras to control robot movementsApply reinforcement concepts to build a handwritten digit recognition model using an image datasetAddress a game theory problem using Q-Learning and OpenAI GymWho this book is for Keras Reinforcement Learning Projects is for you if you are data scientist, machine learning developer, or AI engineer who wants to understand the fundamentals of reinforcement learning by developing practical projects. Sound knowledge of machine learning and basic familiarity with Keras is useful to get the most out of this book

How long is Keras Reinforcement Learning Projects?

Keras Reinforcement Learning Projects by Giuseppe Ciaburro is 280 pages long, and a total of 70,000 words.

This makes it 94% the length of the average book. It also has 86% more words than the average book.

How Long Does it Take to Read Keras Reinforcement Learning Projects Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 22 minutes to read Keras Reinforcement Learning Projects aloud.

What Reading Level is Keras Reinforcement Learning Projects?

Keras Reinforcement Learning Projects is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Keras Reinforcement Learning Projects?

Keras Reinforcement Learning Projects by Giuseppe Ciaburro is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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