Deep Reinforcement Learning with Python: With Pytorch, Tensorflow and Openai Gym by Sanghi, Nimish
Deep Reinforcement Learning with Python: With Pytorch, Tensorflow and Openai Gym by Sanghi, Nimish

Deep Reinforcement Learning with Python: With Pytorch, Tensorflow and Openai Gym

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous...
€64,88 EUR
€64,88 EUR
SKU: 9781484268087
Product Type: Books
Please hurry! Only 159 left in stock
Author: Nimish Sanghi
Format: Paperback
Language: English
Subtotal: €64,88
10 customers are viewing this product
Deep Reinforcement Learning with Python: With Pytorch, Tensorflow and Openai Gym by Sanghi, Nimish

Deep Reinforcement Learning with Python: With Pytorch, Tensorflow and Openai Gym

€64,88
Deep Reinforcement Learning with Python: With Pytorch, Tensorflow and Openai Gym by Sanghi, Nimish

Deep Reinforcement Learning with Python: With Pytorch, Tensorflow and Openai Gym

€64,88
Author: Nimish Sanghi
Format: Paperback
Language: English
Description
Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.
You'll begin by reviewing the Markov decision processes, Bellman equations, and dynamic programming that form the core concepts and foundation of deep reinforcement learning. Next, you'll study model-free learning followed by function approximation using neural networks and deep learning. This is followed by various deep reinforcement learning algorithms such as deep q-networks, various flavors of actor-critic methods, and other policy-based methods.
You'll also look at exploration vs exploitation dilemma, a key consideration in reinforcement learning algorithms, along with Monte Carlo tree search (MCTS), which played a key role in the success of AlphaGo. The final chapters conclude with deep reinforcement learning implementation using popular deep learning frameworks such as TensorFlow and PyTorch. In the end, you'll understand deep reinforcement learning along with deep q networks and policy gradient models implementation with TensorFlow, PyTorch, and Open AI Gym.
What You'll Learn
  • Examine deep reinforcement learning
  • Implement deep learning algorithms using OpenAI's Gym environment
  • Code your own game playing agents for Atari using actor-critic algorithms
  • Apply best practices for model building and algorithm training
Who This Book Is For

Machine learning developers and architects who want to stay ahead of the curve in the field of AI and deep learning.



Author: Nimish Sanghi
Publisher: Apress
Published: 04/02/2021
Pages: 382
Binding Type: Paperback
Weight: 1.54lbs
Size: 10.00h x 7.00w x 0.83d
ISBN: 9781484268087

About the Author

Nimish is a passionate technical leader who brings to table extreme focus on use of technology for solving customer problems. He has over 25 years of work experience in the Software and Consulting. Nimish has held leadership roles with P&L responsibilities at PwC, IBM and Oracle. In 2006 he set out on his entrepreneurial journey in Software consulting at SOAIS with offices in Boston, Chicago and Bangalore. Today the firm provides Automation and Digital Transformation services to Fortune 100 companies helping them make the transition from on-premise applications to the cloud.

He is also an angel investor in the space of AI and Automation driven startups. He has co-founded Paybooks, a SaaS HR and Payroll platform for Indian market. He has also cofounded a Boston based startup which offers ZipperAgent and ZipperHQ, a suite of AI driven workflow and video marketing automation platforms. He currently hold the position as CTO and Chief Data Scientist for both these platforms.

Nimish has an MBA from Indian Institute of Management in Ahmedabad, India and a BS in Electrical Engineering from Indian Institute of Technology in Kanpur, India. He also holds multiple certifications in AI and Deep Learning.



Shipping & Return

Returns Policy

You may return most new, unopened items within 30 days of delivery for a full refund. We'll also pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.).

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, simply login to your account, view the order using the "Complete Orders" link under the My Account menu and click the Return Item(s) button. We'll notify you via e-mail of your refund once we've received and processed the returned item.

Shipping

We can ship to virtually any address in the world. Note that there are restrictions on some products, and some products cannot be shipped to international destinations.

When you place an order, we will estimate shipping and delivery dates for you based on the availability of your items and the shipping options you choose. Depending on the shipping provider you choose, shipping date estimates may appear on the shipping quotes page.

Please also note that the shipping rates for many items we sell are weight-based. The weight of any such item can be found on its detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.

Review

Related Products

Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR
Example product title
€64,88 EUR
€64,88 EUR

Recently Viewed Products