Production-Ready Deep Learning

This bundle takes you from the lab to the shop floor with larger case studies and designs for a production-grade deep learning system.

  • Deep Learning with PyTorch
  • Real-World Machine Learning
  • Machine Learning Systems
$115.97$59.99 Production-Ready Deep Learning Bundles are not eligible for additional discounts.

Deep Learning with PyTorch

Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. After a quick introduction to the deep learning landscape, you'll explore the use of pre-trained networks and start sharpening your skills on working with tensors. You'll find out how to represent the most common types of data with tensors and how to build and train neural networks from scratch on practical examples, focusing on images and sequences.

After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning.

Real-World Machine Learning

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you?ll build skills in data acquisition and modeling, classification, and regression. You?ll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you?re done, you?ll be ready to successfully build, deploy, and maintain your own powerful ML systems.

Machine Learning Systems

Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java as well.

$115.97$59.99 Production-Ready Deep Learning Bundles are not eligible for additional discounts.
Some bundled books and liveVideos are part of the Manning Early Access Program. You'll get all the available content now, new content as it's created, and the final product when it's ready.