Haiping Chen

Haiping Chen

Greater Chicago Area
428 followers 405 connections

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About

Distributed system, Service Mesh, Kafka, Istio, Headless CMS, GraphQL, Deep Learning…

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Activity

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Experience

  • Lessen Graphic

    Lessen

    4800 N Scottsdale Rd, Scottsdale, AZ 85251

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    130 E Randolph St, Chicago, IL 60601

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    Wilmette, IL

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    875 North Michigan Avenue, Suite 2800

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    Beijing City, China

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Education

Licenses & Certifications

Publications

  • Hands-On TensorFlow.NET

    Publishing House of Electronics Industry

    This book is based on the TensorFlow.NET framework and provides a detailed introduction to the basic principles and application technologies of deep learning on the .NET platform. It not only explains the algorithmic principles but also demonstrates practical code and running results. The complete examples mainly use C# and F# languages. The book is divided into 3 parts: The first part introduces the usage of core APIs and basic examples, including data types, tensors, Eager Mode, automatic…

    This book is based on the TensorFlow.NET framework and provides a detailed introduction to the basic principles and application technologies of deep learning on the .NET platform. It not only explains the algorithmic principles but also demonstrates practical code and running results. The complete examples mainly use C# and F# languages. The book is divided into 3 parts: The first part introduces the usage of core APIs and basic examples, including data types, tensors, Eager Mode, automatic differentiation, linear regression, logistic regression, tf.data, deep neural networks and AutoGraph mechanism. Readers can quickly get started by learning this part; The second part focuses on demonstrating the usage of .NET Keras, including models, network layers, common APIs, model building and model training. Readers can master mainstream deep learning methods from this; The third part is mainly about production applications and case practices, including GPU environment setup, custom dataset training,image classification,target detection ,transfer learning,natural language processing ,generative adversarial networks,and F# application cases. Each case has complete code.

    This book covers methods and practices of deep learning and is mainly aimed at college students in school ,production technicians,and researchers.It is suitable for readers with a .NET programming foundation who want to develop deep learning applications through .NET technology.

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Honors & Awards

  • Microsoft MVP

    Microsoft

    Haiping Chen has been awarded as a Microsoft® Most Valuable Professional (MVP) in AI. The Microsoft MVP Award is an annual award that recognizes exceptional technology community leaders worldwide who actively share their high quality, real world expertise with users and Microsoft. As a recipient of this year’s Microsoft MVP award, Haiping joins an exceptional group of individuals from around the world who have demonstrated a willingness to reach out, share their technical expertise with others…

    Haiping Chen has been awarded as a Microsoft® Most Valuable Professional (MVP) in AI. The Microsoft MVP Award is an annual award that recognizes exceptional technology community leaders worldwide who actively share their high quality, real world expertise with users and Microsoft. As a recipient of this year’s Microsoft MVP award, Haiping joins an exceptional group of individuals from around the world who have demonstrated a willingness to reach out, share their technical expertise with others and help individuals maximize their use of technology.

Languages

  • English

    Professional working proficiency

  • Chinese

    Native or bilingual proficiency

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