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Grokking Deep Learning
  • Language: en
  • Pages: 475

Grokking Deep Learning

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advanceme...

Grokking Deep Learning
  • Language: en
  • Pages: 336

Grokking Deep Learning

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advanceme...

Grokking Machine Learning
  • Language: en
  • Pages: 510

Grokking Machine Learning

Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.

Betting the Company
  • Language: en
  • Pages: 362

Betting the Company

  • Categories: Law

Where the fate of a company is on the line in a negotiation, legal and business teams must work seamlessly to reach a successful conclusion. Unfortunately, there's often a gap between lawyers, who are typically untrained in business strategy, and business executives, who lack basic knowledge of contract law and regulations. In Betting the Company: Complex Negotiation Strategies for Law and Business, Andrew Trask and Andrew DeGuire offer a thorough introduction to enable lawyers and business people to understand the theoretical concepts and to apply practical tools to conduct a successful, multi-faceted negotiation. The authors, both of whom have extensive experience conducting high-stakes ne...

Grokking Deep Reinforcement Learning
  • Language: en
  • Pages: 470

Grokking Deep Reinforcement Learning

  • Type: Book
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  • Published: 2020-11-10
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  • Publisher: Manning

Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback. Summary We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. Grokking Deep Reinforcement Learning in...

The Class Action Playbook
  • Language: en

The Class Action Playbook

  • Categories: Law
  • Type: Book
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  • Published: 2012-11-29
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  • Publisher: OUP USA

The Class Action Playbook is a unique and strategic "how to" guide for practitioners seeking to bring or defend a class action.

Federated Learning Systems
  • Language: en
  • Pages: 207

Federated Learning Systems

This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.

Hedwig and the Angry Inch
  • Language: en
  • Pages: 52

Hedwig and the Angry Inch

Tells the story of transsexual rocker Hedwig Schmidt, an East German immigrant whose sex change operation has been botched and who finds herself living in a trailer park in Kansas.

Generative Deep Learning
  • Language: en
  • Pages: 330

Generative Deep Learning

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how t...

Teaching about Asian Pacific Americans
  • Language: en
  • Pages: 336

Teaching about Asian Pacific Americans

Teaching about Asian Pacific Americans was created for educators and other practitioners who want to use interactive activities, assignments, and strategies in their classrooms or workshops. Experts in the field of Asian American Studies will find powerful, innovative teaching activities that clearly convey established and new ideas. The activities in this book have been used effectively in workshops for staff and practitioners in student services programs, community-based organizations, teacher training programs, social service agencies, and diversity training.