£35.43

Manning Engineering Deep Learning Systems - Software Guide

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Description

Bridge the gap between traditional software engineering and machine learning with Engineering Deep Learning Systems by Manning Publications. This guide is specifically written for software engineers who want to build and maintain reliable platforms for deep learning models. Instead of focusing solely on algorithms, this book teaches you how to design systems that are optimized for real-world production environments. You will learn how to transfer your existing software development skills to the specialized world of deep learning systems. The text covers the entire development cycle, helping you recognize and solve common engineering challenges. From automating training in TensorFlow and PyTorch to optimizing dataset management, you will gain the practical knowledge needed to manage complex workflows. This book helps you make informed decisions when picking the right open-source projects to support your infrastructure, ensuring your deep learning models are scalable and maintainable.

Key Features

Transfer your existing software engineering skills to build robust deep learning systems and platforms.

Learn to recognize and solve common engineering challenges specific to deep learning development cycles.

Automate model training processes using industry-standard frameworks like TensorFlow and PyTorch.

Optimize essential workflows including dataset management, training, model serving, and hyperparameter tuning.

Gain guidance on picking the right open-source projects to support your machine learning infrastructure.

Product Specifications

Brand
Manning
Format
paperback
Domain
Amazon UK
Release Date
06 July 2023
Listed Since
05 April 2022

Barcode

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