Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách Designing Deep Learning Systems A software engineers guide (sách keo gáy, bìa mềm)
Thể loại:Computers - Artificial Intelligence (AI)
Năm:2023
In lần thứ:1
Ngôn ngữ:english
Trang:362
In Designing Deep Learning Systems you will learn how to:
• Transfer your software development skills to deep learning systems
• Recognize and solve common engineering challenges for deep learning systems
• Understand the deep learning development cycle
• Automate training for models in TensorFlow and PyTorch
• Optimize dataset management, training, model serving and hyperparameter tuning
• Pick the right open-source project for your platform
Deep
learning systems are the components and infrastructure essential to
supporting a deep learning model in a production environment. Written
especially for software engineers with minimal knowledge of deep
learning’s design requirements, Designing Deep Learning Systems
is full of hands-on examples that will help you transfer your software
development skills to creating these deep learning platforms. You’ll
learn how to build automated and scalable services for core tasks like
dataset management, model training/serving, and hyperparameter tuning.
This book is the perfect way to step into an exciting—and
lucrative—career as a deep learning engineer.
About the book
Designing Deep Learning Systems: A software engineer's guide
teaches you everything you need to design and implement a
production-ready deep learning platform. First, it presents the big
picture of a deep learning system from the developer’s perspective,
including its major components and how they are connected. Then, it
carefully guides you through the engineering methods you’ll need to
build your own maintainable, efficient, and scalable deep learning
platforms.
About the reader
For software developers and engineering-minded data scientists. Examples in Java and Python.
About the authors
Chi
Wang is a principal software developer in the Salesforce Einstein
group. Donald Szeto was the co-founder and CTO of PredictionIO.
