Manning Publications Manning Engineering Deep Learning Systems - Software Guide

Machine Learning Engineering in Action

Manning Publications

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production (Synthesis Lectures on Computer Architecture)

Springer

Deep Learning and AI Superhero: Mastering TensorFlow, Keras, and PyTorch: Advanced Machine Learning and AI, Neural Networks, and Real-World Projects (Mastering the AI Revolution)

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Addison Wesley

Demystifying Deep Learning: An Introduction to the Mathematics of Neural Networks

Wiley-IEEE Press

Deep Learning with PyTorch, Second Edition

Manning

The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting

Packt Publishing

State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

Apress

The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Packt Publishing

Deep Learning with Python: A Hands-on Introduction

Apress

Mathematical Engineering of Deep Learning - Chapman and Hall/CRC

Chapman and Hall/CRC

Mathematical Engineering of Deep Learning (Chapman & Hall/CRC Data Science Series)

Chapman and Hall/CRC

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

Packt Publishing

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

O'Reilly

Evolutionary Deep Learning: Genetic Algorithms and Neural Networks

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Authorhouse

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

The LLM Engineering Bible [All-in-One]: Everything on How to Build, Deploy, and Scale Production-Ready AI Systems in 30 Days. Includes Practical and Updated LLM Use Cases Ideas and Expert Tips

Codeless Deep Learning with KNIME: Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform

Packt Publishing

Data Engineering with Advanced Python: Learn to Build Production Data applications using Modern Cloud Data tools (Data Engineering with Python cookbook series)

Lean Software Systems Engineering for Developers: Managing Requirements, Complexity, Teams, and Change Like a Champ

Apress